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Cure Model Regression

Usage

# S3 method for formula
cureit(
  surv_formula,
  cure_formula,
  data,
  conf.level = 0.95,
  nboot = 100,
  eps = 1e-07,
  ...
)

cureit(object, ...)

# S3 method for default
cureit(object, ...)

Arguments

surv_formula

formula with Surv() on LHS and covariates on RHS.

cure_formula

formula with covariates for cure fraction on RHS

data

data frame

conf.level

confidence level. Default is 0.95.

nboot

number of bootstrap samples used for inference.

eps

convergence criterion for the EM algorithm.

...

passed to methods

object

input object

Value

cureit object

See also

Examples

cureit(surv_formula = Surv(ttdeath, death) ~ age + grade, 
cure_formula = ~ age + grade,  data = trial)
#> 0 were not able to fit
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002616112               0.569504769               0.345883977 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.575003030             0.009813492             0.108542405 
#>   grade_iii, Cure model 
#>             0.823899189 
#> 
#> $surv_formula
#> Surv(ttdeath, death) ~ age + grade
#> <environment: 0x560ddebb1c48>
#> 
#> $cure_formula
#> ~age + grade
#> <environment: 0x560ddebb1c48>
#> 
#> $data
#> # A tibble: 200 × 8
#>    trt      age marker stage grade response death ttdeath
#>    <chr>  <dbl>  <dbl> <fct> <fct>    <int> <dbl>   <dbl>
#>  1 Drug A    23  0.16  T1    II           0     0    24  
#>  2 Drug B     9  1.11  T2    I            1     0    24  
#>  3 Drug A    31  0.277 T1    II           0     0    24  
#>  4 Drug A    NA  2.07  T3    III          1     1    17.6
#>  5 Drug A    51  2.77  T4    III          1     1    16.4
#>  6 Drug B    39  0.613 T4    I            0     1    15.6
#>  7 Drug A    37  0.354 T1    II           0     0    24  
#>  8 Drug A    32  1.74  T1    I            0     1    18.4
#>  9 Drug A    31  0.144 T1    II           0     0    24  
#> 10 Drug B    34  0.205 T3    I            0     1    10.5
#> # ℹ 190 more rows
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> $surv_xlevels$grade
#> [1] "I"   "II"  "III"
#> 
#> 
#> $cure_xlevels
#> $cure_xlevels$grade
#> [1] "I"   "II"  "III"
#> 
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 7
#>   term                   estimate std.error statistic conf.low conf.high p.value
#>   <chr>                     <dbl>     <dbl>     <dbl>    <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure mod… -0.575      0.508     -1.13   -1.57      0.420   0.258 
#> 2 age, Cure model         0.00981    0.0102     0.958  -0.0103    0.0299  0.338 
#> 3 grade_ii, Cure model    0.109      0.362      0.300  -0.600     0.817   0.764 
#> 4 grade_iii, Cure model   0.824      0.324      2.54    0.188     1.46    0.0111
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 7
#>   term                   estimate std.error statistic conf.low conf.high p.value
#>   <chr>                     <dbl>     <dbl>     <dbl>    <dbl>     <dbl>   <dbl>
#> 1 age, Survival model    -0.00262   0.00967    -0.270  -0.0216    0.0163  0.787 
#> 2 grade_ii, Survival mo…  0.570     0.285       2.00    0.0107    1.13    0.0458
#> 3 grade_iii, Survival m…  0.346     0.256       1.35   -0.155     0.847   0.176 
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.575003          0.009813          0.108542          0.823899  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 253.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.575003030      0.009813492      0.108542405      0.823899189 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002616112      0.569504769      0.345883977 
#> 
#> $b_var
#> [1] 0.2579391941 0.0001050289 0.1308160194 0.1052314725
#> 
#> $b_sd
#> [1] 0.50787714 0.01024836 0.36168497 0.32439401
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -1.1321695        0.9575672        0.3001021        2.5398101 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.25756317       0.33828102       0.76409931       0.01109127 
#> 
#> $beta_var
#> [1] 9.359265e-05 8.127206e-02 6.536551e-02
#> 
#> $beta_sd
#> [1] 0.00967433 0.28508256 0.25566679
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       -0.2704179        1.9976837        1.3528702 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.78683877       0.04575097       0.17609710 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.000000000 0.000000000 0.000000000 0.604678067 0.658063410 0.000000000
#>   [7] 0.417229340 0.000000000 0.879376354 0.000000000 0.000000000 0.744886187
#>  [13] 0.787600867 0.142672058 0.944518547 0.000000000 0.693100768 0.000000000
#>  [19] 0.000000000 0.000000000 0.000000000 0.540871173 0.006912639 0.976381134
#>  [25] 0.640373656 0.000000000 0.000000000 0.684419417 0.522291631 0.000000000
#>  [31] 0.278243702 0.000000000 0.000000000 0.000000000 0.246976530 0.821307758
#>  [37] 0.000000000 0.666890646 0.466018936 0.456394953 0.829660071 0.854634203
#>  [43] 0.000000000 0.531599829 0.000000000 0.000000000 0.000000000 0.846335953
#>  [49] 0.446649365 0.887603756 0.000000000 0.000000000 0.368370905 0.837991986
#>  [55] 0.736284601 0.368370905 0.762052697 0.904005497 0.000000000 0.130947018
#>  [61] 0.000000000 0.000000000 0.178167087 0.000000000 0.298558895 0.093531067
#>  [67] 0.960518552 0.000000000 0.000000000 0.000000000 0.000000000 0.387858887
#>  [73] 0.968455884 0.020860827 0.613665875 0.000000000 0.753465281 0.000000000
#>  [79] 0.000000000 0.000000000 0.586773524 0.036370054 0.000000000 0.427038837
#>  [85] 0.267747949 0.984266892 0.106209363 0.895813391 0.000000000 0.000000000
#>  [91] 0.727657186 0.397671772 0.000000000 0.246976530 0.631469660 0.920311545
#>  [97] 0.000000000 0.000000000 0.000000000 0.348502061 0.550166021 0.862915985
#> [103] 0.436874482 0.000000000 0.494318881 0.513013956 0.000000000 0.118522726
#> [109] 0.000000000 0.503694197 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.779118376 0.649247645 0.000000000 0.992139734 0.308649170
#> [121] 0.080274841 0.568542449 0.000000000 0.000000000 0.718999352 0.475516896
#> [127] 0.000000000 0.201867710 0.000000000 0.000000000 0.224987874 0.796088245
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.912176411 0.000000000
#> [139] 0.000000000 0.000000000 0.952539418 0.318644852 0.000000000 0.000000000
#> [145] 0.236117909 0.804529313 0.770582430 0.000000000 0.701722215 0.328677697
#> [151] 0.871155498 0.000000000 0.000000000 0.000000000 0.000000000 0.065734870
#> [157] 0.000000000 0.338572747 0.675684959 0.050684149 0.154512416 0.358472658
#> [163] 0.559374570 0.000000000 0.000000000 0.000000000 0.189977968 0.000000000
#> [169] 0.812910823 0.000000000 0.407438340 0.710355937 0.577676416 0.000000000
#> [175] 0.936485829 0.484909262 0.000000000 0.000000000 0.928419678 0.622583868
#> [181] 0.288505592 0.000000000 0.586773524 0.000000000 0.166456957 0.000000000
#> [187] 0.213576414 0.000000000 0.000000000
#> 
#> $Time
#>     1     2     3     5     6     7     8     9    10    11    12    13    14 
#> 24.00 24.00 24.00 16.43 15.64 24.00 18.43 24.00 10.53 24.00 24.00 14.34 12.89 
#>    15    16    17    18    19    20    21    22    23    24    25    26    27 
#> 22.68  8.71 24.00 15.21 24.00 24.00 24.00 24.00 16.92 23.89  6.32 15.77 24.00 
#>    28    29    30    31    32    33    34    35    36    37    38    39    40 
#> 24.00 15.45 17.43 24.00 20.90 24.00 24.00 24.00 21.19 12.52 24.00 15.59 18.00 
#>    41    42    43    44    45    46    47    48    49    51    52    53    54 
#> 18.02 12.43 12.10 24.00 17.42 24.00 24.00 24.00 12.19 18.23 10.42 24.00 24.00 
#>    55    56    57    58    60    61    62    63    64    65    66    67    68 
#> 19.34 12.21 14.46 19.34 13.15 10.12 24.00 22.77 24.00 24.00 22.13 24.00 20.62 
#>    69    70    71    72    74    75    76    77    78    79    80    81    82 
#> 23.23  7.38 24.00 24.00 24.00 24.00 19.22  7.27 23.88 16.23 24.00 14.06 24.00 
#>    83    84    85    86    87    88    90    91    92    93    94    95    96 
#> 24.00 24.00 16.44 23.81 24.00 18.37 20.94  5.33 22.92 10.33 24.00 24.00 14.54 
#>    97    98    99   100   101   102   103   104   105   106   107   108   109 
#> 19.14 24.00 21.19 16.07  9.97 24.00 24.00 24.00 19.75 16.67 11.18 18.29 24.00 
#>   110   111   112   113   116   117   118   119   120   121   122   123   125 
#> 17.56 17.45 24.00 22.86 24.00 17.46 24.00 24.00 24.00 24.00 24.00 13.00 15.65 
#>   126   127   128   129   130   131   132   133   134   135   136   137   138 
#> 24.00  3.53 20.35 23.41 16.47 24.00 24.00 14.65 17.81 24.00 21.83 24.00 24.00 
#>   139   140   141   142   143   144   145   146   147   148   149   150   151 
#> 21.49 12.68 24.00 24.00 24.00 24.00 10.07 24.00 24.00 24.00  8.37 20.33 24.00 
#>   152   153   154   155   156   157   158   159   160   161   162   163   164 
#> 24.00 21.33 12.63 13.08 24.00 15.10 20.14 10.55 24.00 24.00 24.00 24.00 23.60 
#>   165   166   167   168   169   170   171   172   173   174   175   176   177 
#> 24.00 19.98 15.55 23.72 22.41 19.54 16.57 24.00 24.00 24.00 21.91 24.00 12.53 
#>   178   179   180   181   182   183   184   185   186   187   188   190   191 
#> 24.00 18.63 14.82 16.46 24.00  9.24 17.77 24.00 24.00  9.92 16.16 20.81 24.00 
#>   192   193   194   196   197   198   200 
#> 16.44 24.00 22.40 24.00 21.60 24.00 24.00 
#> 
#> $bootstrap_fit
#> $bootstrap_fit[[1]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              0.0008696957              0.4636493422              0.4345520686 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.10494006              0.01057584             -1.01427546 
#>   grade_iii, Cure model 
#>              0.51562935 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 88    18.37      1  47        0         0
#> 91     5.33      1  61        0         1
#> 43    12.10      1  61        0         1
#> 6     15.64      1  39        0         0
#> 91.1   5.33      1  61        0         1
#> 145   10.07      1  65        1         0
#> 85    16.44      1  36        0         0
#> 197   21.60      1  69        1         0
#> 139   21.49      1  63        1         0
#> 153   21.33      1  55        1         0
#> 108   18.29      1  39        0         1
#> 6.1   15.64      1  39        0         0
#> 117   17.46      1  26        0         1
#> 125   15.65      1  67        1         0
#> 192   16.44      1  31        1         0
#> 168   23.72      1  70        0         0
#> 57    14.46      1  45        0         1
#> 6.2   15.64      1  39        0         0
#> 139.1 21.49      1  63        1         0
#> 101    9.97      1  10        0         1
#> 197.1 21.60      1  69        1         0
#> 114   13.68      1  NA        0         0
#> 133   14.65      1  57        0         0
#> 23    16.92      1  61        0         0
#> 29    15.45      1  68        1         0
#> 124    9.73      1  NA        1         0
#> 96    14.54      1  33        0         1
#> 69    23.23      1  25        0         1
#> 40    18.00      1  28        1         0
#> 114.1 13.68      1  NA        0         0
#> 113   22.86      1  34        0         0
#> 63    22.77      1  31        1         0
#> 133.1 14.65      1  57        0         0
#> 76    19.22      1  54        0         1
#> 93    10.33      1  52        0         1
#> 70     7.38      1  30        1         0
#> 107   11.18      1  54        1         0
#> 188   16.16      1  46        0         1
#> 79    16.23      1  54        1         0
#> 124.1  9.73      1  NA        1         0
#> 145.1 10.07      1  65        1         0
#> 90    20.94      1  50        0         1
#> 181   16.46      1  45        0         1
#> 133.2 14.65      1  57        0         0
#> 92    22.92      1  47        0         1
#> 129   23.41      1  53        1         0
#> 106   16.67      1  49        1         0
#> 188.1 16.16      1  46        0         1
#> 175   21.91      1  43        0         0
#> 39    15.59      1  37        0         1
#> 169   22.41      1  46        0         0
#> 90.1  20.94      1  50        0         1
#> 25     6.32      1  34        1         0
#> 91.2   5.33      1  61        0         1
#> 150   20.33      1  48        0         0
#> 179   18.63      1  42        0         0
#> 25.1   6.32      1  34        1         0
#> 30    17.43      1  78        0         0
#> 133.3 14.65      1  57        0         0
#> 56    12.21      1  60        0         0
#> 189   10.51      1  NA        1         0
#> 149    8.37      1  33        1         0
#> 43.1  12.10      1  61        0         1
#> 91.3   5.33      1  61        0         1
#> 123   13.00      1  44        1         0
#> 157   15.10      1  47        0         0
#> 129.1 23.41      1  53        1         0
#> 130   16.47      1  53        0         1
#> 14    12.89      1  21        0         0
#> 133.4 14.65      1  57        0         0
#> 8     18.43      1  32        0         0
#> 92.1  22.92      1  47        0         1
#> 171   16.57      1  41        0         1
#> 13    14.34      1  54        0         1
#> 107.1 11.18      1  54        1         0
#> 179.1 18.63      1  42        0         0
#> 97    19.14      1  65        0         1
#> 8.1   18.43      1  32        0         0
#> 69.1  23.23      1  25        0         1
#> 58    19.34      1  39        0         0
#> 50    10.02      1  NA        1         0
#> 125.1 15.65      1  67        1         0
#> 68    20.62      1  44        0         0
#> 5     16.43      1  51        0         1
#> 24    23.89      1  38        0         0
#> 43.2  12.10      1  61        0         1
#> 43.3  12.10      1  61        0         1
#> 175.1 21.91      1  43        0         0
#> 97.1  19.14      1  65        0         1
#> 24.1  23.89      1  38        0         0
#> 184   17.77      1  38        0         0
#> 57.1  14.46      1  45        0         1
#> 179.2 18.63      1  42        0         0
#> 145.2 10.07      1  65        1         0
#> 183    9.24      1  67        1         0
#> 150.1 20.33      1  48        0         0
#> 181.1 16.46      1  45        0         1
#> 189.1 10.51      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 117.1 17.46      1  26        0         1
#> 171.1 16.57      1  41        0         1
#> 43.4  12.10      1  61        0         1
#> 99    21.19      1  38        0         1
#> 66    22.13      1  53        0         0
#> 168.1 23.72      1  70        0         0
#> 164   23.60      1  76        0         1
#> 199   19.81      1  NA        0         1
#> 23.1  16.92      1  61        0         0
#> 100   16.07      1  60        0         0
#> 92.2  22.92      1  47        0         1
#> 39.1  15.59      1  37        0         1
#> 26    15.77      1  49        0         1
#> 160   24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 71    24.00      0  51        0         0
#> 174   24.00      0  49        1         0
#> 62    24.00      0  71        0         0
#> 147   24.00      0  76        1         0
#> 9     24.00      0  31        1         0
#> 103   24.00      0  56        1         0
#> 47    24.00      0  38        0         1
#> 62.1  24.00      0  71        0         0
#> 156   24.00      0  50        1         0
#> 80    24.00      0  41        0         0
#> 178   24.00      0  52        1         0
#> 182   24.00      0  35        0         0
#> 147.1 24.00      0  76        1         0
#> 182.1 24.00      0  35        0         0
#> 119   24.00      0  17        0         0
#> 75    24.00      0  21        1         0
#> 48    24.00      0  31        1         0
#> 156.1 24.00      0  50        1         0
#> 178.1 24.00      0  52        1         0
#> 109   24.00      0  48        0         0
#> 174.1 24.00      0  49        1         0
#> 9.1   24.00      0  31        1         0
#> 11    24.00      0  42        0         1
#> 198   24.00      0  66        0         1
#> 11.1  24.00      0  42        0         1
#> 28    24.00      0  67        1         0
#> 7     24.00      0  37        1         0
#> 74    24.00      0  43        0         1
#> 27    24.00      0  63        1         0
#> 104   24.00      0  50        1         0
#> 9.2   24.00      0  31        1         0
#> 109.1 24.00      0  48        0         0
#> 141   24.00      0  44        1         0
#> 152   24.00      0  36        0         1
#> 143   24.00      0  51        0         0
#> 141.1 24.00      0  44        1         0
#> 156.2 24.00      0  50        1         0
#> 132   24.00      0  55        0         0
#> 27.1  24.00      0  63        1         0
#> 138.1 24.00      0  44        1         0
#> 135   24.00      0  58        1         0
#> 74.1  24.00      0  43        0         1
#> 162   24.00      0  51        0         0
#> 178.2 24.00      0  52        1         0
#> 148   24.00      0  61        1         0
#> 102   24.00      0  49        0         0
#> 131   24.00      0  66        0         0
#> 47.1  24.00      0  38        0         1
#> 27.2  24.00      0  63        1         0
#> 1     24.00      0  23        1         0
#> 163   24.00      0  66        0         0
#> 17    24.00      0  38        0         1
#> 185   24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 64    24.00      0  43        0         0
#> 185.1 24.00      0  44        1         0
#> 176   24.00      0  43        0         1
#> 71.1  24.00      0  51        0         0
#> 65    24.00      0  57        1         0
#> 142   24.00      0  53        0         0
#> 112   24.00      0  61        0         0
#> 75.1  24.00      0  21        1         0
#> 19    24.00      0  57        0         1
#> 135.1 24.00      0  58        1         0
#> 144   24.00      0  28        0         1
#> 196   24.00      0  19        0         0
#> 151   24.00      0  42        0         0
#> 185.2 24.00      0  44        1         0
#> 27.3  24.00      0  63        1         0
#> 156.3 24.00      0  50        1         0
#> 116   24.00      0  58        0         1
#> 185.3 24.00      0  44        1         0
#> 103.1 24.00      0  56        1         0
#> 137   24.00      0  45        1         0
#> 103.2 24.00      0  56        1         0
#> 1.1   24.00      0  23        1         0
#> 44    24.00      0  56        0         0
#> 176.1 24.00      0  43        0         1
#> 121   24.00      0  57        1         0
#> 54    24.00      0  53        1         0
#> 165   24.00      0  47        0         0
#> 3     24.00      0  31        1         0
#> 200   24.00      0  64        0         0
#> 121.1 24.00      0  57        1         0
#> 176.2 24.00      0  43        0         1
#> 176.3 24.00      0  43        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.105         NA        NA      NA
#> 2 age, Cure model           0.0106        NA        NA      NA
#> 3 grade_ii, Cure model     -1.01          NA        NA      NA
#> 4 grade_iii, Cure model     0.516         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.000870        NA        NA      NA
#> 2 grade_ii, Survival model  0.464           NA        NA      NA
#> 3 grade_iii, Survival model 0.435           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.10494           0.01058          -1.01428           0.51563  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.8 
#> Residual Deviance: 245.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.10494006       0.01057584      -1.01427546       0.51562935 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     0.0008696957     0.4636493422     0.4345520686 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.48744398 0.97340772 0.85393866 0.70947780 0.97340772 0.91106765
#>   [7] 0.62872067 0.29027301 0.31228767 0.33329708 0.49682439 0.70947780
#>  [13] 0.52443476 0.69380878 0.62872067 0.06569765 0.80901044 0.70947780
#>  [19] 0.31228767 0.93199307 0.29027301 0.76369630 0.56001707 0.74827675
#>  [25] 0.80137249 0.15622315 0.50610015 0.21885006 0.23122189 0.76369630
#>  [31] 0.41281644 0.90392563 0.95288519 0.88962875 0.66170667 0.65351775
#>  [37] 0.91106765 0.35401535 0.61203552 0.76369630 0.18373760 0.12561688
#>  [43] 0.57760696 0.66170667 0.26704766 0.73282461 0.24318846 0.35401535
#>  [49] 0.95978403 0.97340772 0.38346164 0.44120425 0.95978403 0.55113666
#>  [55] 0.76369630 0.84647900 0.94595464 0.85393866 0.97340772 0.83155140
#>  [61] 0.75598817 0.12561688 0.60349323 0.83901581 0.76369630 0.46884892
#>  [67] 0.18373760 0.58638117 0.82404305 0.88962875 0.44120425 0.42253286
#>  [73] 0.46884892 0.15622315 0.40295650 0.69380878 0.37356546 0.64525989
#>  [79] 0.02496741 0.85393866 0.85393866 0.26704766 0.42253286 0.02496741
#>  [85] 0.51527019 0.80901044 0.44120425 0.91106765 0.93899163 0.38346164
#>  [91] 0.61203552 0.54224620 0.52443476 0.58638117 0.85393866 0.34374924
#>  [97] 0.25513116 0.06569765 0.10585582 0.56001707 0.67774362 0.18373760
#> [103] 0.73282461 0.68580497 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    88    91    43     6  91.1   145    85   197   139   153   108   6.1   117 
#> 18.37  5.33 12.10 15.64  5.33 10.07 16.44 21.60 21.49 21.33 18.29 15.64 17.46 
#>   125   192   168    57   6.2 139.1   101 197.1   133    23    29    96    69 
#> 15.65 16.44 23.72 14.46 15.64 21.49  9.97 21.60 14.65 16.92 15.45 14.54 23.23 
#>    40   113    63 133.1    76    93    70   107   188    79 145.1    90   181 
#> 18.00 22.86 22.77 14.65 19.22 10.33  7.38 11.18 16.16 16.23 10.07 20.94 16.46 
#> 133.2    92   129   106 188.1   175    39   169  90.1    25  91.2   150   179 
#> 14.65 22.92 23.41 16.67 16.16 21.91 15.59 22.41 20.94  6.32  5.33 20.33 18.63 
#>  25.1    30 133.3    56   149  43.1  91.3   123   157 129.1   130    14 133.4 
#>  6.32 17.43 14.65 12.21  8.37 12.10  5.33 13.00 15.10 23.41 16.47 12.89 14.65 
#>     8  92.1   171    13 107.1 179.1    97   8.1  69.1    58 125.1    68     5 
#> 18.43 22.92 16.57 14.34 11.18 18.63 19.14 18.43 23.23 19.34 15.65 20.62 16.43 
#>    24  43.2  43.3 175.1  97.1  24.1   184  57.1 179.2 145.2   183 150.1 181.1 
#> 23.89 12.10 12.10 21.91 19.14 23.89 17.77 14.46 18.63 10.07  9.24 20.33 16.46 
#>   111 117.1 171.1  43.4    99    66 168.1   164  23.1   100  92.2  39.1    26 
#> 17.45 17.46 16.57 12.10 21.19 22.13 23.72 23.60 16.92 16.07 22.92 15.59 15.77 
#>   160   138    71   174    62   147     9   103    47  62.1   156    80   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182 147.1 182.1   119    75    48 156.1 178.1   109 174.1   9.1    11   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  11.1    28     7    74    27   104   9.2 109.1   141   152   143 141.1 156.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   132  27.1 138.1   135  74.1   162 178.2   148   102   131  47.1  27.2     1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   163    17   185    95    64 185.1   176  71.1    65   142   112  75.1    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 135.1   144   196   151 185.2  27.3 156.3   116 185.3 103.1   137 103.2   1.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44 176.1   121    54   165     3   200 121.1 176.2 176.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[2]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.008473307               0.801254229               0.157105465 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.06206577              0.01979643              0.03754818 
#>   grade_iii, Cure model 
#>              0.80907097 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 13    14.34      1  54        0         1
#> 128   20.35      1  35        0         1
#> 111   17.45      1  47        0         1
#> 111.1 17.45      1  47        0         1
#> 194   22.40      1  38        0         1
#> 79    16.23      1  54        1         0
#> 37    12.52      1  57        1         0
#> 139   21.49      1  63        1         0
#> 86    23.81      1  58        0         1
#> 171   16.57      1  41        0         1
#> 189   10.51      1  NA        1         0
#> 37.1  12.52      1  57        1         0
#> 70     7.38      1  30        1         0
#> 50    10.02      1  NA        1         0
#> 107   11.18      1  54        1         0
#> 86.1  23.81      1  58        0         1
#> 114   13.68      1  NA        0         0
#> 24    23.89      1  38        0         0
#> 194.1 22.40      1  38        0         1
#> 15    22.68      1  48        0         0
#> 110   17.56      1  65        0         1
#> 110.1 17.56      1  65        0         1
#> 96    14.54      1  33        0         1
#> 157   15.10      1  47        0         0
#> 69    23.23      1  25        0         1
#> 158   20.14      1  74        1         0
#> 117   17.46      1  26        0         1
#> 175   21.91      1  43        0         0
#> 167   15.55      1  56        1         0
#> 111.2 17.45      1  47        0         1
#> 133   14.65      1  57        0         0
#> 59    10.16      1  NA        1         0
#> 40    18.00      1  28        1         0
#> 86.2  23.81      1  58        0         1
#> 168   23.72      1  70        0         0
#> 192   16.44      1  31        1         0
#> 13.1  14.34      1  54        0         1
#> 168.1 23.72      1  70        0         0
#> 93    10.33      1  52        0         1
#> 32    20.90      1  37        1         0
#> 105   19.75      1  60        0         0
#> 26    15.77      1  49        0         1
#> 175.1 21.91      1  43        0         0
#> 88    18.37      1  47        0         0
#> 188   16.16      1  46        0         1
#> 77     7.27      1  67        0         1
#> 41    18.02      1  40        1         0
#> 61    10.12      1  36        0         1
#> 90    20.94      1  50        0         1
#> 25     6.32      1  34        1         0
#> 111.3 17.45      1  47        0         1
#> 181   16.46      1  45        0         1
#> 192.1 16.44      1  31        1         0
#> 190   20.81      1  42        1         0
#> 127    3.53      1  62        0         1
#> 29    15.45      1  68        1         0
#> 6     15.64      1  39        0         0
#> 145   10.07      1  65        1         0
#> 187    9.92      1  39        1         0
#> 13.2  14.34      1  54        0         1
#> 197   21.60      1  69        1         0
#> 154   12.63      1  20        1         0
#> 99    21.19      1  38        0         1
#> 169   22.41      1  46        0         0
#> 154.1 12.63      1  20        1         0
#> 36    21.19      1  48        0         1
#> 139.1 21.49      1  63        1         0
#> 195   11.76      1  NA        1         0
#> 60    13.15      1  38        1         0
#> 90.1  20.94      1  50        0         1
#> 145.1 10.07      1  65        1         0
#> 157.1 15.10      1  47        0         0
#> 195.1 11.76      1  NA        1         0
#> 59.1  10.16      1  NA        1         0
#> 195.2 11.76      1  NA        1         0
#> 133.1 14.65      1  57        0         0
#> 30    17.43      1  78        0         0
#> 32.1  20.90      1  37        1         0
#> 36.1  21.19      1  48        0         1
#> 99.1  21.19      1  38        0         1
#> 171.1 16.57      1  41        0         1
#> 169.1 22.41      1  46        0         0
#> 168.2 23.72      1  70        0         0
#> 89    11.44      1  NA        0         0
#> 18    15.21      1  49        1         0
#> 85    16.44      1  36        0         0
#> 68    20.62      1  44        0         0
#> 36.2  21.19      1  48        0         1
#> 68.1  20.62      1  44        0         0
#> 10    10.53      1  34        0         0
#> 107.1 11.18      1  54        1         0
#> 100   16.07      1  60        0         0
#> 36.3  21.19      1  48        0         1
#> 197.1 21.60      1  69        1         0
#> 140   12.68      1  59        1         0
#> 134   17.81      1  47        1         0
#> 157.2 15.10      1  47        0         0
#> 51    18.23      1  83        0         1
#> 133.2 14.65      1  57        0         0
#> 180   14.82      1  37        0         0
#> 100.1 16.07      1  60        0         0
#> 155   13.08      1  26        0         0
#> 57    14.46      1  45        0         1
#> 150   20.33      1  48        0         0
#> 150.1 20.33      1  48        0         0
#> 86.3  23.81      1  58        0         1
#> 89.1  11.44      1  NA        0         0
#> 13.3  14.34      1  54        0         1
#> 32.2  20.90      1  37        1         0
#> 189.1 10.51      1  NA        1         0
#> 114.1 13.68      1  NA        0         0
#> 24.1  23.89      1  38        0         0
#> 160   24.00      0  31        1         0
#> 38    24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 109   24.00      0  48        0         0
#> 62    24.00      0  71        0         0
#> 12    24.00      0  63        0         0
#> 82    24.00      0  34        0         0
#> 156   24.00      0  50        1         0
#> 112   24.00      0  61        0         0
#> 152   24.00      0  36        0         1
#> 75    24.00      0  21        1         0
#> 98.1  24.00      0  34        1         0
#> 67    24.00      0  25        0         0
#> 137   24.00      0  45        1         0
#> 151   24.00      0  42        0         0
#> 165   24.00      0  47        0         0
#> 198   24.00      0  66        0         1
#> 27    24.00      0  63        1         0
#> 185   24.00      0  44        1         0
#> 156.1 24.00      0  50        1         0
#> 132   24.00      0  55        0         0
#> 19    24.00      0  57        0         1
#> 176   24.00      0  43        0         1
#> 80    24.00      0  41        0         0
#> 191   24.00      0  60        0         1
#> 64    24.00      0  43        0         0
#> 47    24.00      0  38        0         1
#> 138   24.00      0  44        1         0
#> 98.2  24.00      0  34        1         0
#> 151.1 24.00      0  42        0         0
#> 48    24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 122   24.00      0  66        0         0
#> 11    24.00      0  42        0         1
#> 3     24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 165.1 24.00      0  47        0         0
#> 46    24.00      0  71        0         0
#> 119   24.00      0  17        0         0
#> 160.1 24.00      0  31        1         0
#> 156.2 24.00      0  50        1         0
#> 138.1 24.00      0  44        1         0
#> 116   24.00      0  58        0         1
#> 20    24.00      0  46        1         0
#> 143   24.00      0  51        0         0
#> 173   24.00      0  19        0         1
#> 122.1 24.00      0  66        0         0
#> 87    24.00      0  27        0         0
#> 46.1  24.00      0  71        0         0
#> 172   24.00      0  41        0         0
#> 54    24.00      0  53        1         0
#> 147   24.00      0  76        1         0
#> 162   24.00      0  51        0         0
#> 118   24.00      0  44        1         0
#> 119.1 24.00      0  17        0         0
#> 20.1  24.00      0  46        1         0
#> 53    24.00      0  32        0         1
#> 182   24.00      0  35        0         0
#> 116.1 24.00      0  58        0         1
#> 119.2 24.00      0  17        0         0
#> 74    24.00      0  43        0         1
#> 38.1  24.00      0  31        1         0
#> 12.1  24.00      0  63        0         0
#> 27.1  24.00      0  63        1         0
#> 75.1  24.00      0  21        1         0
#> 35    24.00      0  51        0         0
#> 74.1  24.00      0  43        0         1
#> 53.1  24.00      0  32        0         1
#> 163   24.00      0  66        0         0
#> 31    24.00      0  36        0         1
#> 143.1 24.00      0  51        0         0
#> 141   24.00      0  44        1         0
#> 64.1  24.00      0  43        0         0
#> 161   24.00      0  45        0         0
#> 53.2  24.00      0  32        0         1
#> 148   24.00      0  61        1         0
#> 143.2 24.00      0  51        0         0
#> 186   24.00      0  45        1         0
#> 53.3  24.00      0  32        0         1
#> 138.2 24.00      0  44        1         0
#> 1     24.00      0  23        1         0
#> 138.3 24.00      0  44        1         0
#> 9     24.00      0  31        1         0
#> 17    24.00      0  38        0         1
#> 135   24.00      0  58        1         0
#> 131   24.00      0  66        0         0
#> 178   24.00      0  52        1         0
#> 74.2  24.00      0  43        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.06          NA        NA      NA
#> 2 age, Cure model           0.0198        NA        NA      NA
#> 3 grade_ii, Cure model      0.0375        NA        NA      NA
#> 4 grade_iii, Cure model     0.809         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00847        NA        NA      NA
#> 2 grade_ii, Survival model   0.801          NA        NA      NA
#> 3 grade_iii, Survival model  0.157          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.06207           0.01980           0.03755           0.80907  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.9 
#> Residual Deviance: 250.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.06206577       0.01979643       0.03754818       0.80907097 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.008473307      0.801254229      0.157105465 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.757281578 0.320415263 0.453952434 0.453952434 0.099335251 0.567438433
#>   [7] 0.854361821 0.162521311 0.014415405 0.505013512 0.854361821 0.958786512
#>  [13] 0.875335149 0.014415405 0.003627096 0.099335251 0.069605829 0.423382749
#>  [19] 0.423382749 0.735591657 0.661726426 0.060236618 0.350876082 0.443673671
#>  [25] 0.119891469 0.630235045 0.453952434 0.703633623 0.403037858 0.014415405
#>  [31] 0.036444970 0.536739666 0.757281578 0.036444970 0.906580477 0.261502510
#>  [37] 0.361140779 0.609043242 0.119891469 0.371523097 0.577783713 0.969090231
#>  [43] 0.392602533 0.917086522 0.240136382 0.979430976 0.453952434 0.526063753
#>  [49] 0.536739666 0.290691989 0.989699027 0.640787721 0.619613647 0.927609144
#>  [55] 0.948401530 0.757281578 0.141590466 0.833193791 0.182661414 0.079417780
#>  [61] 0.833193791 0.182661414 0.162521311 0.800428190 0.240136382 0.927609144
#>  [67] 0.661726426 0.703633623 0.494453516 0.261502510 0.182661414 0.182661414
#>  [73] 0.505013512 0.079417780 0.036444970 0.651296717 0.536739666 0.300574835
#>  [79] 0.182661414 0.300574835 0.896104403 0.875335149 0.588167591 0.182661414
#>  [85] 0.141590466 0.822296226 0.413272428 0.661726426 0.382001621 0.703633623
#>  [91] 0.693003369 0.588167591 0.811347639 0.746420793 0.330535452 0.330535452
#>  [97] 0.014415405 0.757281578 0.261502510 0.003627096 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000
#> 
#> $Time
#>    13   128   111 111.1   194    79    37   139    86   171  37.1    70   107 
#> 14.34 20.35 17.45 17.45 22.40 16.23 12.52 21.49 23.81 16.57 12.52  7.38 11.18 
#>  86.1    24 194.1    15   110 110.1    96   157    69   158   117   175   167 
#> 23.81 23.89 22.40 22.68 17.56 17.56 14.54 15.10 23.23 20.14 17.46 21.91 15.55 
#> 111.2   133    40  86.2   168   192  13.1 168.1    93    32   105    26 175.1 
#> 17.45 14.65 18.00 23.81 23.72 16.44 14.34 23.72 10.33 20.90 19.75 15.77 21.91 
#>    88   188    77    41    61    90    25 111.3   181 192.1   190   127    29 
#> 18.37 16.16  7.27 18.02 10.12 20.94  6.32 17.45 16.46 16.44 20.81  3.53 15.45 
#>     6   145   187  13.2   197   154    99   169 154.1    36 139.1    60  90.1 
#> 15.64 10.07  9.92 14.34 21.60 12.63 21.19 22.41 12.63 21.19 21.49 13.15 20.94 
#> 145.1 157.1 133.1    30  32.1  36.1  99.1 171.1 169.1 168.2    18    85    68 
#> 10.07 15.10 14.65 17.43 20.90 21.19 21.19 16.57 22.41 23.72 15.21 16.44 20.62 
#>  36.2  68.1    10 107.1   100  36.3 197.1   140   134 157.2    51 133.2   180 
#> 21.19 20.62 10.53 11.18 16.07 21.19 21.60 12.68 17.81 15.10 18.23 14.65 14.82 
#> 100.1   155    57   150 150.1  86.3  13.3  32.2  24.1   160    38    98   109 
#> 16.07 13.08 14.46 20.33 20.33 23.81 14.34 20.90 23.89 24.00 24.00 24.00 24.00 
#>    62    12    82   156   112   152    75  98.1    67   137   151   165   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27   185 156.1   132    19   176    80   191    64    47   138  98.2 151.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48    28   122    11     3   120 165.1    46   119 160.1 156.2 138.1   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20   143   173 122.1    87  46.1   172    54   147   162   118 119.1  20.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53   182 116.1 119.2    74  38.1  12.1  27.1  75.1    35  74.1  53.1   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31 143.1   141  64.1   161  53.2   148 143.2   186  53.3 138.2     1 138.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9    17   135   131   178  74.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[3]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.000147673               0.712277084               0.300077516 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.16809509              0.02199252              0.10289107 
#>   grade_iii, Cure model 
#>              0.48826285 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 123   13.00      1  44        1         0
#> 14    12.89      1  21        0         0
#> 199   19.81      1  NA        0         1
#> 93    10.33      1  52        0         1
#> 194   22.40      1  38        0         1
#> 166   19.98      1  48        0         0
#> 139   21.49      1  63        1         0
#> 4     17.64      1  NA        0         1
#> 18    15.21      1  49        1         0
#> 106   16.67      1  49        1         0
#> 195   11.76      1  NA        1         0
#> 45    17.42      1  54        0         1
#> 128   20.35      1  35        0         1
#> 195.1 11.76      1  NA        1         0
#> 150   20.33      1  48        0         0
#> 96    14.54      1  33        0         1
#> 56    12.21      1  60        0         0
#> 16     8.71      1  71        0         1
#> 76    19.22      1  54        0         1
#> 124    9.73      1  NA        1         0
#> 180   14.82      1  37        0         0
#> 41    18.02      1  40        1         0
#> 192   16.44      1  31        1         0
#> 145   10.07      1  65        1         0
#> 108   18.29      1  39        0         1
#> 166.1 19.98      1  48        0         0
#> 114   13.68      1  NA        0         0
#> 37    12.52      1  57        1         0
#> 79    16.23      1  54        1         0
#> 106.1 16.67      1  49        1         0
#> 93.1  10.33      1  52        0         1
#> 106.2 16.67      1  49        1         0
#> 123.1 13.00      1  44        1         0
#> 89    11.44      1  NA        0         0
#> 195.2 11.76      1  NA        1         0
#> 51    18.23      1  83        0         1
#> 158   20.14      1  74        1         0
#> 63    22.77      1  31        1         0
#> 133   14.65      1  57        0         0
#> 29    15.45      1  68        1         0
#> 114.1 13.68      1  NA        0         0
#> 97    19.14      1  65        0         1
#> 136   21.83      1  43        0         1
#> 166.2 19.98      1  48        0         0
#> 158.1 20.14      1  74        1         0
#> 169   22.41      1  46        0         0
#> 110   17.56      1  65        0         1
#> 15    22.68      1  48        0         0
#> 23    16.92      1  61        0         0
#> 140   12.68      1  59        1         0
#> 123.2 13.00      1  44        1         0
#> 124.1  9.73      1  NA        1         0
#> 159   10.55      1  50        0         1
#> 63.1  22.77      1  31        1         0
#> 25     6.32      1  34        1         0
#> 97.1  19.14      1  65        0         1
#> 25.1   6.32      1  34        1         0
#> 99    21.19      1  38        0         1
#> 59    10.16      1  NA        1         0
#> 43    12.10      1  61        0         1
#> 179   18.63      1  42        0         0
#> 134   17.81      1  47        1         0
#> 55    19.34      1  69        0         1
#> 107   11.18      1  54        1         0
#> 114.2 13.68      1  NA        0         0
#> 58    19.34      1  39        0         0
#> 6     15.64      1  39        0         0
#> 124.2  9.73      1  NA        1         0
#> 183    9.24      1  67        1         0
#> 192.1 16.44      1  31        1         0
#> 113   22.86      1  34        0         0
#> 66    22.13      1  53        0         0
#> 169.1 22.41      1  46        0         0
#> 124.3  9.73      1  NA        1         0
#> 59.1  10.16      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 86    23.81      1  58        0         1
#> 79.1  16.23      1  54        1         0
#> 76.1  19.22      1  54        0         1
#> 36    21.19      1  48        0         1
#> 129   23.41      1  53        1         0
#> 29.1  15.45      1  68        1         0
#> 56.1  12.21      1  60        0         0
#> 49    12.19      1  48        1         0
#> 134.1 17.81      1  47        1         0
#> 106.3 16.67      1  49        1         0
#> 77     7.27      1  67        0         1
#> 136.1 21.83      1  43        0         1
#> 59.2  10.16      1  NA        1         0
#> 23.1  16.92      1  61        0         0
#> 25.2   6.32      1  34        1         0
#> 68    20.62      1  44        0         0
#> 136.2 21.83      1  43        0         1
#> 114.3 13.68      1  NA        0         0
#> 5     16.43      1  51        0         1
#> 29.2  15.45      1  68        1         0
#> 154   12.63      1  20        1         0
#> 158.2 20.14      1  74        1         0
#> 8     18.43      1  32        0         0
#> 99.1  21.19      1  38        0         1
#> 188   16.16      1  46        0         1
#> 168   23.72      1  70        0         0
#> 78    23.88      1  43        0         0
#> 68.1  20.62      1  44        0         0
#> 170   19.54      1  43        0         1
#> 59.3  10.16      1  NA        1         0
#> 96.1  14.54      1  33        0         1
#> 57    14.46      1  45        0         1
#> 197   21.60      1  69        1         0
#> 86.1  23.81      1  58        0         1
#> 110.1 17.56      1  65        0         1
#> 171   16.57      1  41        0         1
#> 137   24.00      0  45        1         0
#> 64    24.00      0  43        0         0
#> 103   24.00      0  56        1         0
#> 162   24.00      0  51        0         0
#> 9     24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 200   24.00      0  64        0         0
#> 143   24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 141   24.00      0  44        1         0
#> 64.1  24.00      0  43        0         0
#> 17    24.00      0  38        0         1
#> 34    24.00      0  36        0         0
#> 156   24.00      0  50        1         0
#> 87    24.00      0  27        0         0
#> 147   24.00      0  76        1         0
#> 115   24.00      0  NA        1         0
#> 104   24.00      0  50        1         0
#> 162.1 24.00      0  51        0         0
#> 186   24.00      0  45        1         0
#> 196   24.00      0  19        0         0
#> 118   24.00      0  44        1         0
#> 34.1  24.00      0  36        0         0
#> 120   24.00      0  68        0         1
#> 138   24.00      0  44        1         0
#> 144   24.00      0  28        0         1
#> 98    24.00      0  34        1         0
#> 160   24.00      0  31        1         0
#> 116   24.00      0  58        0         1
#> 174   24.00      0  49        1         0
#> 185   24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 165   24.00      0  47        0         0
#> 152   24.00      0  36        0         1
#> 95.1  24.00      0  68        0         1
#> 94    24.00      0  51        0         1
#> 138.1 24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 116.1 24.00      0  58        0         1
#> 17.1  24.00      0  38        0         1
#> 53    24.00      0  32        0         1
#> 191   24.00      0  60        0         1
#> 11    24.00      0  42        0         1
#> 174.1 24.00      0  49        1         0
#> 121   24.00      0  57        1         0
#> 35    24.00      0  51        0         0
#> 3     24.00      0  31        1         0
#> 33    24.00      0  53        0         0
#> 87.1  24.00      0  27        0         0
#> 9.1   24.00      0  31        1         0
#> 64.2  24.00      0  43        0         0
#> 135   24.00      0  58        1         0
#> 198   24.00      0  66        0         1
#> 47    24.00      0  38        0         1
#> 1     24.00      0  23        1         0
#> 28    24.00      0  67        1         0
#> 95.2  24.00      0  68        0         1
#> 143.1 24.00      0  51        0         0
#> 142   24.00      0  53        0         0
#> 198.1 24.00      0  66        0         1
#> 54    24.00      0  53        1         0
#> 83    24.00      0   6        0         0
#> 144.1 24.00      0  28        0         1
#> 138.2 24.00      0  44        1         0
#> 27.1  24.00      0  63        1         0
#> 165.1 24.00      0  47        0         0
#> 67    24.00      0  25        0         0
#> 144.2 24.00      0  28        0         1
#> 173   24.00      0  19        0         1
#> 135.1 24.00      0  58        1         0
#> 165.2 24.00      0  47        0         0
#> 118.1 24.00      0  44        1         0
#> 147.1 24.00      0  76        1         0
#> 162.2 24.00      0  51        0         0
#> 174.2 24.00      0  49        1         0
#> 54.1  24.00      0  53        1         0
#> 21.1  24.00      0  47        0         0
#> 7     24.00      0  37        1         0
#> 151   24.00      0  42        0         0
#> 121.1 24.00      0  57        1         0
#> 11.1  24.00      0  42        0         1
#> 137.1 24.00      0  45        1         0
#> 80    24.00      0  41        0         0
#> 119   24.00      0  17        0         0
#> 47.1  24.00      0  38        0         1
#> 151.1 24.00      0  42        0         0
#> 112   24.00      0  61        0         0
#> 156.1 24.00      0  50        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.17          NA        NA      NA
#> 2 age, Cure model           0.0220        NA        NA      NA
#> 3 grade_ii, Cure model      0.103         NA        NA      NA
#> 4 grade_iii, Cure model     0.488         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.000148        NA        NA      NA
#> 2 grade_ii, Survival model  0.712           NA        NA      NA
#> 3 grade_iii, Survival model 0.300           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.16810           0.02199           0.10289           0.48826  
#> 
#> Degrees of Freedom: 180 Total (i.e. Null);  177 Residual
#> Null Deviance:	    250.6 
#> Residual Deviance: 244.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.16809509       0.02199252       0.10289107       0.48826285 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.000147673      0.712277084      0.300077516 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.84073067 0.86328229 0.93697873 0.23061169 0.43791016 0.31206728
#>   [7] 0.79366054 0.65891248 0.63072487 0.38274370 0.39454883 0.81732843
#>  [13] 0.89320995 0.96545936 0.50106116 0.80155034 0.58286915 0.70265836
#>  [19] 0.95127659 0.56254458 0.43791016 0.88582775 0.72838786 0.65891248
#>  [25] 0.93697873 0.65891248 0.84073067 0.57273991 0.40635148 0.15775141
#>  [31] 0.80943971 0.76998016 0.52168639 0.25983534 0.43791016 0.40635148
#>  [37] 0.20167426 0.61187734 0.18663418 0.64016882 0.87086571 0.84073067
#>  [43] 0.92976249 0.15775141 0.97953052 0.52168639 0.97953052 0.32456103
#>  [49] 0.91522918 0.54201995 0.59281676 0.48012519 0.92252602 0.48012519
#>  [55] 0.75339036 0.95839575 0.70265836 0.13876871 0.24522681 0.20167426
#>  [61] 0.76173293 0.05673525 0.72838786 0.50106116 0.32456103 0.11977704
#>  [67] 0.76998016 0.89320995 0.90791120 0.59281676 0.65891248 0.97250419
#>  [73] 0.25983534 0.64016882 0.97953052 0.35924295 0.25983534 0.71980162
#>  [79] 0.76998016 0.87838001 0.40635148 0.55228272 0.32456103 0.74504726
#>  [85] 0.09699483 0.02100427 0.35924295 0.46945367 0.81732843 0.83292293
#>  [91] 0.29902124 0.05673525 0.61187734 0.69380607 0.00000000 0.00000000
#>  [97] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000
#> 
#> $Time
#>   123    14    93   194   166   139    18   106    45   128   150    96    56 
#> 13.00 12.89 10.33 22.40 19.98 21.49 15.21 16.67 17.42 20.35 20.33 14.54 12.21 
#>    16    76   180    41   192   145   108 166.1    37    79 106.1  93.1 106.2 
#>  8.71 19.22 14.82 18.02 16.44 10.07 18.29 19.98 12.52 16.23 16.67 10.33 16.67 
#> 123.1    51   158    63   133    29    97   136 166.2 158.1   169   110    15 
#> 13.00 18.23 20.14 22.77 14.65 15.45 19.14 21.83 19.98 20.14 22.41 17.56 22.68 
#>    23   140 123.2   159  63.1    25  97.1  25.1    99    43   179   134    55 
#> 16.92 12.68 13.00 10.55 22.77  6.32 19.14  6.32 21.19 12.10 18.63 17.81 19.34 
#>   107    58     6   183 192.1   113    66 169.1   167    86  79.1  76.1    36 
#> 11.18 19.34 15.64  9.24 16.44 22.86 22.13 22.41 15.55 23.81 16.23 19.22 21.19 
#>   129  29.1  56.1    49 134.1 106.3    77 136.1  23.1  25.2    68 136.2     5 
#> 23.41 15.45 12.21 12.19 17.81 16.67  7.27 21.83 16.92  6.32 20.62 21.83 16.43 
#>  29.2   154 158.2     8  99.1   188   168    78  68.1   170  96.1    57   197 
#> 15.45 12.63 20.14 18.43 21.19 16.16 23.72 23.88 20.62 19.54 14.54 14.46 21.60 
#>  86.1 110.1   171   137    64   103   162     9    21   200   143    22   141 
#> 23.81 17.56 16.57 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  64.1    17    34   156    87   147   104 162.1   186   196   118  34.1   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138   144    98   160   116   174   185    95   165   152  95.1    94 138.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27 116.1  17.1    53   191    11 174.1   121    35     3    33  87.1   9.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  64.2   135   198    47     1    28  95.2 143.1   142 198.1    54    83 144.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 138.2  27.1 165.1    67 144.2   173 135.1 165.2 118.1 147.1 162.2 174.2  54.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  21.1     7   151 121.1  11.1 137.1    80   119  47.1 151.1   112 156.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[4]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01084630               -0.05281149               -0.17183047 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -0.3823897               0.0105953              -0.1029624 
#>   grade_iii, Cure model 
#>               0.3959931 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 36    21.19      1  48        0         1
#> 41    18.02      1  40        1         0
#> 41.1  18.02      1  40        1         0
#> 130   16.47      1  53        0         1
#> 181   16.46      1  45        0         1
#> 23    16.92      1  61        0         0
#> 29    15.45      1  68        1         0
#> 10    10.53      1  34        0         0
#> 45    17.42      1  54        0         1
#> 18    15.21      1  49        1         0
#> 13    14.34      1  54        0         1
#> 166   19.98      1  48        0         0
#> 183    9.24      1  67        1         0
#> 175   21.91      1  43        0         0
#> 99    21.19      1  38        0         1
#> 175.1 21.91      1  43        0         0
#> 123   13.00      1  44        1         0
#> 194   22.40      1  38        0         1
#> 157   15.10      1  47        0         0
#> 43    12.10      1  61        0         1
#> 10.1  10.53      1  34        0         0
#> 76    19.22      1  54        0         1
#> 40    18.00      1  28        1         0
#> 177   12.53      1  75        0         0
#> 15    22.68      1  48        0         0
#> 184   17.77      1  38        0         0
#> 170   19.54      1  43        0         1
#> 52    10.42      1  52        0         1
#> 96    14.54      1  33        0         1
#> 190   20.81      1  42        1         0
#> 149    8.37      1  33        1         0
#> 123.1 13.00      1  44        1         0
#> 51    18.23      1  83        0         1
#> 49    12.19      1  48        1         0
#> 154   12.63      1  20        1         0
#> 77     7.27      1  67        0         1
#> 100   16.07      1  60        0         0
#> 92    22.92      1  47        0         1
#> 60    13.15      1  38        1         0
#> 88    18.37      1  47        0         0
#> 23.1  16.92      1  61        0         0
#> 145   10.07      1  65        1         0
#> 129   23.41      1  53        1         0
#> 130.1 16.47      1  53        0         1
#> 56    12.21      1  60        0         0
#> 130.2 16.47      1  53        0         1
#> 171   16.57      1  41        0         1
#> 128   20.35      1  35        0         1
#> 184.1 17.77      1  38        0         0
#> 69    23.23      1  25        0         1
#> 29.1  15.45      1  68        1         0
#> 13.1  14.34      1  54        0         1
#> 134   17.81      1  47        1         0
#> 179   18.63      1  42        0         0
#> 63    22.77      1  31        1         0
#> 60.1  13.15      1  38        1         0
#> 61    10.12      1  36        0         1
#> 77.1   7.27      1  67        0         1
#> 197   21.60      1  69        1         0
#> 133   14.65      1  57        0         0
#> 100.1 16.07      1  60        0         0
#> 166.1 19.98      1  48        0         0
#> 40.1  18.00      1  28        1         0
#> 164   23.60      1  76        0         1
#> 133.1 14.65      1  57        0         0
#> 181.1 16.46      1  45        0         1
#> 77.2   7.27      1  67        0         1
#> 180   14.82      1  37        0         0
#> 189   10.51      1  NA        1         0
#> 99.1  21.19      1  38        0         1
#> 61.1  10.12      1  36        0         1
#> 157.1 15.10      1  47        0         0
#> 26    15.77      1  49        0         1
#> 114   13.68      1  NA        0         0
#> 99.2  21.19      1  38        0         1
#> 4     17.64      1  NA        0         1
#> 169   22.41      1  46        0         0
#> 32    20.90      1  37        1         0
#> 5     16.43      1  51        0         1
#> 124    9.73      1  NA        1         0
#> 96.1  14.54      1  33        0         1
#> 70     7.38      1  30        1         0
#> 157.2 15.10      1  47        0         0
#> 175.2 21.91      1  43        0         0
#> 66    22.13      1  53        0         0
#> 63.1  22.77      1  31        1         0
#> 139   21.49      1  63        1         0
#> 50    10.02      1  NA        1         0
#> 68    20.62      1  44        0         0
#> 26.1  15.77      1  49        0         1
#> 190.1 20.81      1  42        1         0
#> 157.3 15.10      1  47        0         0
#> 164.1 23.60      1  76        0         1
#> 32.1  20.90      1  37        1         0
#> 92.1  22.92      1  47        0         1
#> 66.1  22.13      1  53        0         0
#> 164.2 23.60      1  76        0         1
#> 79    16.23      1  54        1         0
#> 5.1   16.43      1  51        0         1
#> 154.1 12.63      1  20        1         0
#> 60.2  13.15      1  38        1         0
#> 8     18.43      1  32        0         0
#> 130.3 16.47      1  53        0         1
#> 129.1 23.41      1  53        1         0
#> 124.1  9.73      1  NA        1         0
#> 154.2 12.63      1  20        1         0
#> 79.1  16.23      1  54        1         0
#> 58    19.34      1  39        0         0
#> 129.2 23.41      1  53        1         0
#> 153   21.33      1  55        1         0
#> 125   15.65      1  67        1         0
#> 170.1 19.54      1  43        0         1
#> 3     24.00      0  31        1         0
#> 112   24.00      0  61        0         0
#> 73    24.00      0  NA        0         1
#> 147   24.00      0  76        1         0
#> 54    24.00      0  53        1         0
#> 33    24.00      0  53        0         0
#> 33.1  24.00      0  53        0         0
#> 87    24.00      0  27        0         0
#> 87.1  24.00      0  27        0         0
#> 3.1   24.00      0  31        1         0
#> 44    24.00      0  56        0         0
#> 116   24.00      0  58        0         1
#> 122   24.00      0  66        0         0
#> 19    24.00      0  57        0         1
#> 9     24.00      0  31        1         0
#> 141   24.00      0  44        1         0
#> 34    24.00      0  36        0         0
#> 35    24.00      0  51        0         0
#> 1     24.00      0  23        1         0
#> 95    24.00      0  68        0         1
#> 44.1  24.00      0  56        0         0
#> 9.1   24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 191   24.00      0  60        0         1
#> 186   24.00      0  45        1         0
#> 102   24.00      0  49        0         0
#> 144   24.00      0  28        0         1
#> 162   24.00      0  51        0         0
#> 116.1 24.00      0  58        0         1
#> 138   24.00      0  44        1         0
#> 141.1 24.00      0  44        1         0
#> 94    24.00      0  51        0         1
#> 84    24.00      0  39        0         1
#> 33.2  24.00      0  53        0         0
#> 198   24.00      0  66        0         1
#> 137   24.00      0  45        1         0
#> 75    24.00      0  21        1         0
#> 3.2   24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 135   24.00      0  58        1         0
#> 27    24.00      0  63        1         0
#> 74    24.00      0  43        0         1
#> 44.2  24.00      0  56        0         0
#> 104   24.00      0  50        1         0
#> 191.1 24.00      0  60        0         1
#> 7     24.00      0  37        1         0
#> 22    24.00      0  52        1         0
#> 144.1 24.00      0  28        0         1
#> 200   24.00      0  64        0         0
#> 185.1 24.00      0  44        1         0
#> 173   24.00      0  19        0         1
#> 47    24.00      0  38        0         1
#> 143   24.00      0  51        0         0
#> 160   24.00      0  31        1         0
#> 160.1 24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 109   24.00      0  48        0         0
#> 147.1 24.00      0  76        1         0
#> 178   24.00      0  52        1         0
#> 44.3  24.00      0  56        0         0
#> 46    24.00      0  71        0         0
#> 74.1  24.00      0  43        0         1
#> 7.1   24.00      0  37        1         0
#> 141.2 24.00      0  44        1         0
#> 46.1  24.00      0  71        0         0
#> 44.4  24.00      0  56        0         0
#> 87.2  24.00      0  27        0         0
#> 44.5  24.00      0  56        0         0
#> 47.1  24.00      0  38        0         1
#> 84.1  24.00      0  39        0         1
#> 20    24.00      0  46        1         0
#> 9.2   24.00      0  31        1         0
#> 47.2  24.00      0  38        0         1
#> 48    24.00      0  31        1         0
#> 138.1 24.00      0  44        1         0
#> 7.2   24.00      0  37        1         0
#> 172   24.00      0  41        0         0
#> 95.1  24.00      0  68        0         1
#> 47.3  24.00      0  38        0         1
#> 193   24.00      0  45        0         1
#> 71    24.00      0  51        0         0
#> 84.2  24.00      0  39        0         1
#> 75.1  24.00      0  21        1         0
#> 185.2 24.00      0  44        1         0
#> 54.1  24.00      0  53        1         0
#> 182   24.00      0  35        0         0
#> 74.2  24.00      0  43        0         1
#> 48.1  24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.382         NA        NA      NA
#> 2 age, Cure model           0.0106        NA        NA      NA
#> 3 grade_ii, Cure model     -0.103         NA        NA      NA
#> 4 grade_iii, Cure model     0.396         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0108        NA        NA      NA
#> 2 grade_ii, Survival model   -0.0528        NA        NA      NA
#> 3 grade_iii, Survival model  -0.172         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -0.3824            0.0106           -0.1030            0.3960  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.7 
#> Residual Deviance: 262.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -0.3823897        0.0105953       -0.1029624        0.3959931 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01084630      -0.05281149      -0.17183047 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.0634637055 0.1956643085 0.1956643085 0.2928821060 0.3320213046
#>   [6] 0.2646824699 0.4541990136 0.8082704647 0.2555321100 0.4785156730
#>  [11] 0.6071121144 0.1213938693 0.9017505989 0.0366521691 0.0634637055
#>  [16] 0.0366521691 0.6763731171 0.0254130931 0.4909744293 0.7930165535
#>  [21] 0.8082704647 0.1564502881 0.2121947116 0.7481396332 0.0187715380
#>  [26] 0.2378885670 0.1348942005 0.8388430449 0.5802728629 0.0959704439
#>  [31] 0.9178771841 0.6763731171 0.1874891331 0.7779267730 0.7050091836
#>  [36] 0.9504115926 0.3963032331 0.0083663279 0.6345968668 0.1795418876
#>  [41] 0.2646824699 0.8857786524 0.0020515371 0.2928821060 0.7629636647
#>  [46] 0.2928821060 0.2832786565 0.1147540293 0.2378885670 0.0062080267
#>  [51] 0.4541990136 0.6071121144 0.2291210174 0.1640263663 0.0132315187
#>  [56] 0.6345968668 0.8544204562 0.9504115926 0.0487935709 0.5539347304
#>  [61] 0.3963032331 0.1213938693 0.2121947116 0.0001367986 0.5539347304
#>  [66] 0.3320213046 0.9504115926 0.5408947695 0.0634637055 0.8544204562
#>  [71] 0.4909744293 0.4189480312 0.0634637055 0.0219936331 0.0842667715
#>  [76] 0.3528152165 0.5802728629 0.9340997812 0.4909744293 0.0366521691
#>  [81] 0.0290494184 0.0132315187 0.0534667022 0.1082732017 0.4189480312
#>  [86] 0.0959704439 0.4909744293 0.0001367986 0.0842667715 0.0083663279
#>  [91] 0.0290494184 0.0001367986 0.3742610987 0.3528152165 0.7050091836
#>  [96] 0.6345968668 0.1717327238 0.2928821060 0.0020515371 0.7050091836
#> [101] 0.3742610987 0.1490642274 0.0020515371 0.0583629446 0.4422285136
#> [106] 0.1348942005 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [191] 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>    36    41  41.1   130   181    23    29    10    45    18    13   166   183 
#> 21.19 18.02 18.02 16.47 16.46 16.92 15.45 10.53 17.42 15.21 14.34 19.98  9.24 
#>   175    99 175.1   123   194   157    43  10.1    76    40   177    15   184 
#> 21.91 21.19 21.91 13.00 22.40 15.10 12.10 10.53 19.22 18.00 12.53 22.68 17.77 
#>   170    52    96   190   149 123.1    51    49   154    77   100    92    60 
#> 19.54 10.42 14.54 20.81  8.37 13.00 18.23 12.19 12.63  7.27 16.07 22.92 13.15 
#>    88  23.1   145   129 130.1    56 130.2   171   128 184.1    69  29.1  13.1 
#> 18.37 16.92 10.07 23.41 16.47 12.21 16.47 16.57 20.35 17.77 23.23 15.45 14.34 
#>   134   179    63  60.1    61  77.1   197   133 100.1 166.1  40.1   164 133.1 
#> 17.81 18.63 22.77 13.15 10.12  7.27 21.60 14.65 16.07 19.98 18.00 23.60 14.65 
#> 181.1  77.2   180  99.1  61.1 157.1    26  99.2   169    32     5  96.1    70 
#> 16.46  7.27 14.82 21.19 10.12 15.10 15.77 21.19 22.41 20.90 16.43 14.54  7.38 
#> 157.2 175.2    66  63.1   139    68  26.1 190.1 157.3 164.1  32.1  92.1  66.1 
#> 15.10 21.91 22.13 22.77 21.49 20.62 15.77 20.81 15.10 23.60 20.90 22.92 22.13 
#> 164.2    79   5.1 154.1  60.2     8 130.3 129.1 154.2  79.1    58 129.2   153 
#> 23.60 16.23 16.43 12.63 13.15 18.43 16.47 23.41 12.63 16.23 19.34 23.41 21.33 
#>   125 170.1     3   112   147    54    33  33.1    87  87.1   3.1    44   116 
#> 15.65 19.54 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122    19     9   141    34    35     1    95  44.1   9.1    98   191   186 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102   144   162 116.1   138 141.1    94    84  33.2   198   137    75   3.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185   135    27    74  44.2   104 191.1     7    22 144.1   200 185.1   173 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    47   143   160 160.1    80   109 147.1   178  44.3    46  74.1   7.1 141.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  46.1  44.4  87.2  44.5  47.1  84.1    20   9.2  47.2    48 138.1   7.2   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  95.1  47.3   193    71  84.2  75.1 185.2  54.1   182  74.2  48.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[5]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              0.0003100529              0.9717295761              0.5059625865 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.53760875              0.02703706              0.09885833 
#>   grade_iii, Cure model 
#>              1.39768849 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 39    15.59      1  37        0         1
#> 158   20.14      1  74        1         0
#> 187    9.92      1  39        1         0
#> 125   15.65      1  67        1         0
#> 155   13.08      1  26        0         0
#> 139   21.49      1  63        1         0
#> 159   10.55      1  50        0         1
#> 55    19.34      1  69        0         1
#> 39.1  15.59      1  37        0         1
#> 184   17.77      1  38        0         0
#> 194   22.40      1  38        0         1
#> 177   12.53      1  75        0         0
#> 127    3.53      1  62        0         1
#> 105   19.75      1  60        0         0
#> 177.1 12.53      1  75        0         0
#> 175   21.91      1  43        0         0
#> 110   17.56      1  65        0         1
#> 78    23.88      1  43        0         0
#> 183    9.24      1  67        1         0
#> 111   17.45      1  47        0         1
#> 188   16.16      1  46        0         1
#> 175.1 21.91      1  43        0         0
#> 89    11.44      1  NA        0         0
#> 96    14.54      1  33        0         1
#> 114   13.68      1  NA        0         0
#> 123   13.00      1  44        1         0
#> 179   18.63      1  42        0         0
#> 145   10.07      1  65        1         0
#> 175.2 21.91      1  43        0         0
#> 140   12.68      1  59        1         0
#> 56    12.21      1  60        0         0
#> 79    16.23      1  54        1         0
#> 32    20.90      1  37        1         0
#> 10    10.53      1  34        0         0
#> 91     5.33      1  61        0         1
#> 69    23.23      1  25        0         1
#> 69.1  23.23      1  25        0         1
#> 18    15.21      1  49        1         0
#> 194.1 22.40      1  38        0         1
#> 78.1  23.88      1  43        0         0
#> 23    16.92      1  61        0         0
#> 49    12.19      1  48        1         0
#> 99    21.19      1  38        0         1
#> 49.1  12.19      1  48        1         0
#> 45    17.42      1  54        0         1
#> 89.1  11.44      1  NA        0         0
#> 180   14.82      1  37        0         0
#> 195   11.76      1  NA        1         0
#> 68    20.62      1  44        0         0
#> 101    9.97      1  10        0         1
#> 43    12.10      1  61        0         1
#> 180.1 14.82      1  37        0         0
#> 167   15.55      1  56        1         0
#> 133   14.65      1  57        0         0
#> 100   16.07      1  60        0         0
#> 192   16.44      1  31        1         0
#> 134   17.81      1  47        1         0
#> 55.1  19.34      1  69        0         1
#> 30    17.43      1  78        0         0
#> 70     7.38      1  30        1         0
#> 164   23.60      1  76        0         1
#> 96.1  14.54      1  33        0         1
#> 96.2  14.54      1  33        0         1
#> 159.1 10.55      1  50        0         1
#> 81    14.06      1  34        0         0
#> 159.2 10.55      1  50        0         1
#> 192.1 16.44      1  31        1         0
#> 188.1 16.16      1  46        0         1
#> 70.1   7.38      1  30        1         0
#> 66    22.13      1  53        0         0
#> 159.3 10.55      1  50        0         1
#> 50    10.02      1  NA        1         0
#> 101.1  9.97      1  10        0         1
#> 183.1  9.24      1  67        1         0
#> 97    19.14      1  65        0         1
#> 8     18.43      1  32        0         0
#> 145.1 10.07      1  65        1         0
#> 189   10.51      1  NA        1         0
#> 16     8.71      1  71        0         1
#> 164.1 23.60      1  76        0         1
#> 168   23.72      1  70        0         0
#> 39.2  15.59      1  37        0         1
#> 68.1  20.62      1  44        0         0
#> 52    10.42      1  52        0         1
#> 127.1  3.53      1  62        0         1
#> 61    10.12      1  36        0         1
#> 192.2 16.44      1  31        1         0
#> 136   21.83      1  43        0         1
#> 136.1 21.83      1  43        0         1
#> 52.1  10.42      1  52        0         1
#> 58    19.34      1  39        0         0
#> 39.3  15.59      1  37        0         1
#> 166   19.98      1  48        0         0
#> 57    14.46      1  45        0         1
#> 134.1 17.81      1  47        1         0
#> 77     7.27      1  67        0         1
#> 16.1   8.71      1  71        0         1
#> 183.2  9.24      1  67        1         0
#> 123.1 13.00      1  44        1         0
#> 117   17.46      1  26        0         1
#> 157   15.10      1  47        0         0
#> 50.1  10.02      1  NA        1         0
#> 170   19.54      1  43        0         1
#> 159.4 10.55      1  50        0         1
#> 57.1  14.46      1  45        0         1
#> 15    22.68      1  48        0         0
#> 99.1  21.19      1  38        0         1
#> 55.2  19.34      1  69        0         1
#> 159.5 10.55      1  50        0         1
#> 26    15.77      1  49        0         1
#> 5     16.43      1  51        0         1
#> 66.1  22.13      1  53        0         0
#> 152   24.00      0  36        0         1
#> 95    24.00      0  68        0         1
#> 48    24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 11    24.00      0  42        0         1
#> 152.1 24.00      0  36        0         1
#> 142   24.00      0  53        0         0
#> 109   24.00      0  48        0         0
#> 152.2 24.00      0  36        0         1
#> 44    24.00      0  56        0         0
#> 182   24.00      0  35        0         0
#> 185   24.00      0  44        1         0
#> 200   24.00      0  64        0         0
#> 182.1 24.00      0  35        0         0
#> 141   24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 161   24.00      0  45        0         0
#> 156   24.00      0  50        1         0
#> 182.2 24.00      0  35        0         0
#> 121   24.00      0  57        1         0
#> 9.1   24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 82    24.00      0  34        0         0
#> 160   24.00      0  31        1         0
#> 74    24.00      0  43        0         1
#> 11.1  24.00      0  42        0         1
#> 3     24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 80.1  24.00      0  41        0         0
#> 144   24.00      0  28        0         1
#> 19    24.00      0  57        0         1
#> 3.1   24.00      0  31        1         0
#> 34    24.00      0  36        0         0
#> 163   24.00      0  66        0         0
#> 75    24.00      0  21        1         0
#> 71    24.00      0  51        0         0
#> 104   24.00      0  50        1         0
#> 142.1 24.00      0  53        0         0
#> 144.1 24.00      0  28        0         1
#> 73    24.00      0  NA        0         1
#> 126   24.00      0  48        0         0
#> 200.1 24.00      0  64        0         0
#> 44.1  24.00      0  56        0         0
#> 132   24.00      0  55        0         0
#> 38    24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 191   24.00      0  60        0         1
#> 9.2   24.00      0  31        1         0
#> 173   24.00      0  19        0         1
#> 137.1 24.00      0  45        1         0
#> 137.2 24.00      0  45        1         0
#> 22    24.00      0  52        1         0
#> 33    24.00      0  53        0         0
#> 21    24.00      0  47        0         0
#> 48.1  24.00      0  31        1         0
#> 62    24.00      0  71        0         0
#> 147   24.00      0  76        1         0
#> 82.1  24.00      0  34        0         0
#> 198   24.00      0  66        0         1
#> 121.1 24.00      0  57        1         0
#> 65    24.00      0  57        1         0
#> 1     24.00      0  23        1         0
#> 87.1  24.00      0  27        0         0
#> 9.3   24.00      0  31        1         0
#> 186   24.00      0  45        1         0
#> 64    24.00      0  43        0         0
#> 156.1 24.00      0  50        1         0
#> 143   24.00      0  51        0         0
#> 44.2  24.00      0  56        0         0
#> 34.1  24.00      0  36        0         0
#> 173.1 24.00      0  19        0         1
#> 9.4   24.00      0  31        1         0
#> 73.1  24.00      0  NA        0         1
#> 9.5   24.00      0  31        1         0
#> 200.2 24.00      0  64        0         0
#> 9.6   24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 7     24.00      0  37        1         0
#> 172   24.00      0  41        0         0
#> 67    24.00      0  25        0         0
#> 116   24.00      0  58        0         1
#> 87.2  24.00      0  27        0         0
#> 35    24.00      0  51        0         0
#> 148   24.00      0  61        1         0
#> 33.1  24.00      0  53        0         0
#> 94    24.00      0  51        0         1
#> 151   24.00      0  42        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.54          NA        NA      NA
#> 2 age, Cure model           0.0270        NA        NA      NA
#> 3 grade_ii, Cure model      0.0989        NA        NA      NA
#> 4 grade_iii, Cure model     1.40          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.000310        NA        NA      NA
#> 2 grade_ii, Survival model  0.972           NA        NA      NA
#> 3 grade_iii, Survival model 0.506           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.53761           0.02704           0.09886           1.39769  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 240.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.53760875       0.02703706       0.09885833       1.39768849 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     0.0003100529     0.9717295761     0.5059625865 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.66584918 0.38968008 0.93252131 0.65813993 0.78040029 0.31863882
#>   [7] 0.84689719 0.43330891 0.66584918 0.52158309 0.19148270 0.80753402
#>  [13] 0.98905507 0.41159711 0.80753402 0.24952487 0.53098920 0.02801744
#>  [19] 0.93843655 0.54946736 0.62657462 0.24952487 0.73854821 0.78737329
#>  [25] 0.48284807 0.90857964 0.24952487 0.80085833 0.82082507 0.61850070
#>  [31] 0.35546235 0.88379518 0.98352499 0.14229454 0.14229454 0.70258447
#>  [37] 0.19148270 0.02801744 0.57660846 0.82749669 0.33149105 0.82749669
#>  [43] 0.56762837 0.71700238 0.36699535 0.92060213 0.84043660 0.71700238
#>  [49] 0.69524828 0.73134344 0.64234293 0.58558589 0.50293654 0.43330891
#>  [55] 0.55854967 0.96685800 0.10433251 0.73854821 0.73854821 0.84689719
#>  [61] 0.77342679 0.84689719 0.58558589 0.62657462 0.96685800 0.22053260
#>  [67] 0.84689719 0.92060213 0.93843655 0.47280008 0.49289332 0.90857964
#>  [73] 0.95552544 0.10433251 0.07515731 0.66584918 0.36699535 0.89005417
#>  [79] 0.98905507 0.90240943 0.58558589 0.29164619 0.29164619 0.89005417
#>  [85] 0.43330891 0.66584918 0.40064083 0.75954136 0.50293654 0.97797337
#>  [91] 0.95552544 0.93843655 0.78737329 0.54028136 0.70979396 0.42254793
#>  [97] 0.84689719 0.75954136 0.17455339 0.33149105 0.43330891 0.84689719
#> [103] 0.65027424 0.61024496 0.22053260 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    39   158   187   125   155   139   159    55  39.1   184   194   177   127 
#> 15.59 20.14  9.92 15.65 13.08 21.49 10.55 19.34 15.59 17.77 22.40 12.53  3.53 
#>   105 177.1   175   110    78   183   111   188 175.1    96   123   179   145 
#> 19.75 12.53 21.91 17.56 23.88  9.24 17.45 16.16 21.91 14.54 13.00 18.63 10.07 
#> 175.2   140    56    79    32    10    91    69  69.1    18 194.1  78.1    23 
#> 21.91 12.68 12.21 16.23 20.90 10.53  5.33 23.23 23.23 15.21 22.40 23.88 16.92 
#>    49    99  49.1    45   180    68   101    43 180.1   167   133   100   192 
#> 12.19 21.19 12.19 17.42 14.82 20.62  9.97 12.10 14.82 15.55 14.65 16.07 16.44 
#>   134  55.1    30    70   164  96.1  96.2 159.1    81 159.2 192.1 188.1  70.1 
#> 17.81 19.34 17.43  7.38 23.60 14.54 14.54 10.55 14.06 10.55 16.44 16.16  7.38 
#>    66 159.3 101.1 183.1    97     8 145.1    16 164.1   168  39.2  68.1    52 
#> 22.13 10.55  9.97  9.24 19.14 18.43 10.07  8.71 23.60 23.72 15.59 20.62 10.42 
#> 127.1    61 192.2   136 136.1  52.1    58  39.3   166    57 134.1    77  16.1 
#>  3.53 10.12 16.44 21.83 21.83 10.42 19.34 15.59 19.98 14.46 17.81  7.27  8.71 
#> 183.2 123.1   117   157   170 159.4  57.1    15  99.1  55.2 159.5    26     5 
#>  9.24 13.00 17.46 15.10 19.54 10.55 14.46 22.68 21.19 19.34 10.55 15.77 16.43 
#>  66.1   152    95    48     9   137    11 152.1   142   109 152.2    44   182 
#> 22.13 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185   200 182.1   141   112   161   156 182.2   121   9.1    87    82   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    74  11.1     3    80  80.1   144    19   3.1    34   163    75    71   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 142.1 144.1   126 200.1  44.1   132    38   122   191   9.2   173 137.1 137.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22    33    21  48.1    62   147  82.1   198 121.1    65     1  87.1   9.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186    64 156.1   143  44.2  34.1 173.1   9.4   9.5 200.2   9.6   176     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   172    67   116  87.2    35   148  33.1    94   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[6]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004046555               0.704108905               0.251124055 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.35044449             -0.00146985              0.82468264 
#>   grade_iii, Cure model 
#>              1.11756954 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 134   17.81      1  47        1         0
#> 37    12.52      1  57        1         0
#> 32    20.90      1  37        1         0
#> 187    9.92      1  39        1         0
#> 25     6.32      1  34        1         0
#> 88    18.37      1  47        0         0
#> 168   23.72      1  70        0         0
#> 197   21.60      1  69        1         0
#> 157   15.10      1  47        0         0
#> 134.1 17.81      1  47        1         0
#> 154   12.63      1  20        1         0
#> 18    15.21      1  49        1         0
#> 79    16.23      1  54        1         0
#> 154.1 12.63      1  20        1         0
#> 58    19.34      1  39        0         0
#> 183    9.24      1  67        1         0
#> 189   10.51      1  NA        1         0
#> 36    21.19      1  48        0         1
#> 157.1 15.10      1  47        0         0
#> 51    18.23      1  83        0         1
#> 50    10.02      1  NA        1         0
#> 63    22.77      1  31        1         0
#> 85    16.44      1  36        0         0
#> 50.1  10.02      1  NA        1         0
#> 117   17.46      1  26        0         1
#> 8     18.43      1  32        0         0
#> 81    14.06      1  34        0         0
#> 127    3.53      1  62        0         1
#> 88.1  18.37      1  47        0         0
#> 123   13.00      1  44        1         0
#> 56    12.21      1  60        0         0
#> 111   17.45      1  47        0         1
#> 108   18.29      1  39        0         1
#> 188   16.16      1  46        0         1
#> 113   22.86      1  34        0         0
#> 13    14.34      1  54        0         1
#> 8.1   18.43      1  32        0         0
#> 199   19.81      1  NA        0         1
#> 26    15.77      1  49        0         1
#> 129   23.41      1  53        1         0
#> 181   16.46      1  45        0         1
#> 153   21.33      1  55        1         0
#> 145   10.07      1  65        1         0
#> 101    9.97      1  10        0         1
#> 134.2 17.81      1  47        1         0
#> 13.1  14.34      1  54        0         1
#> 111.1 17.45      1  47        0         1
#> 177   12.53      1  75        0         0
#> 145.1 10.07      1  65        1         0
#> 195   11.76      1  NA        1         0
#> 164   23.60      1  76        0         1
#> 4     17.64      1  NA        0         1
#> 49    12.19      1  48        1         0
#> 192   16.44      1  31        1         0
#> 24    23.89      1  38        0         0
#> 167   15.55      1  56        1         0
#> 175   21.91      1  43        0         0
#> 37.1  12.52      1  57        1         0
#> 192.1 16.44      1  31        1         0
#> 164.1 23.60      1  76        0         1
#> 194   22.40      1  38        0         1
#> 159   10.55      1  50        0         1
#> 45    17.42      1  54        0         1
#> 51.1  18.23      1  83        0         1
#> 69    23.23      1  25        0         1
#> 6     15.64      1  39        0         0
#> 18.1  15.21      1  49        1         0
#> 13.2  14.34      1  54        0         1
#> 127.1  3.53      1  62        0         1
#> 15    22.68      1  48        0         0
#> 36.1  21.19      1  48        0         1
#> 5     16.43      1  51        0         1
#> 167.1 15.55      1  56        1         0
#> 68    20.62      1  44        0         0
#> 81.1  14.06      1  34        0         0
#> 59    10.16      1  NA        1         0
#> 180   14.82      1  37        0         0
#> 30    17.43      1  78        0         0
#> 51.2  18.23      1  83        0         1
#> 194.1 22.40      1  38        0         1
#> 92    22.92      1  47        0         1
#> 51.3  18.23      1  83        0         1
#> 181.1 16.46      1  45        0         1
#> 36.2  21.19      1  48        0         1
#> 155   13.08      1  26        0         0
#> 39    15.59      1  37        0         1
#> 49.1  12.19      1  48        1         0
#> 52    10.42      1  52        0         1
#> 79.1  16.23      1  54        1         0
#> 91     5.33      1  61        0         1
#> 93    10.33      1  52        0         1
#> 76    19.22      1  54        0         1
#> 42    12.43      1  49        0         1
#> 85.1  16.44      1  36        0         0
#> 179   18.63      1  42        0         0
#> 49.2  12.19      1  48        1         0
#> 106   16.67      1  49        1         0
#> 57    14.46      1  45        0         1
#> 40    18.00      1  28        1         0
#> 90    20.94      1  50        0         1
#> 16     8.71      1  71        0         1
#> 140   12.68      1  59        1         0
#> 194.2 22.40      1  38        0         1
#> 150   20.33      1  48        0         0
#> 123.1 13.00      1  44        1         0
#> 25.1   6.32      1  34        1         0
#> 39.1  15.59      1  37        0         1
#> 123.2 13.00      1  44        1         0
#> 58.1  19.34      1  39        0         0
#> 187.1  9.92      1  39        1         0
#> 61    10.12      1  36        0         1
#> 6.1   15.64      1  39        0         0
#> 9     24.00      0  31        1         0
#> 115   24.00      0  NA        1         0
#> 53    24.00      0  32        0         1
#> 46    24.00      0  71        0         0
#> 33    24.00      0  53        0         0
#> 104   24.00      0  50        1         0
#> 35    24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 191   24.00      0  60        0         1
#> 131   24.00      0  66        0         0
#> 12    24.00      0  63        0         0
#> 198   24.00      0  66        0         1
#> 31    24.00      0  36        0         1
#> 33.1  24.00      0  53        0         0
#> 116   24.00      0  58        0         1
#> 132   24.00      0  55        0         0
#> 131.1 24.00      0  66        0         0
#> 2     24.00      0   9        0         0
#> 137   24.00      0  45        1         0
#> 121   24.00      0  57        1         0
#> 82    24.00      0  34        0         0
#> 109   24.00      0  48        0         0
#> 116.1 24.00      0  58        0         1
#> 120   24.00      0  68        0         1
#> 34    24.00      0  36        0         0
#> 122   24.00      0  66        0         0
#> 143   24.00      0  51        0         0
#> 94    24.00      0  51        0         1
#> 174   24.00      0  49        1         0
#> 144   24.00      0  28        0         1
#> 178   24.00      0  52        1         0
#> 132.1 24.00      0  55        0         0
#> 122.1 24.00      0  66        0         0
#> 141   24.00      0  44        1         0
#> 172   24.00      0  41        0         0
#> 126   24.00      0  48        0         0
#> 198.1 24.00      0  66        0         1
#> 178.1 24.00      0  52        1         0
#> 31.1  24.00      0  36        0         1
#> 148   24.00      0  61        1         0
#> 135   24.00      0  58        1         0
#> 121.1 24.00      0  57        1         0
#> 151   24.00      0  42        0         0
#> 162   24.00      0  51        0         0
#> 35.1  24.00      0  51        0         0
#> 160   24.00      0  31        1         0
#> 112   24.00      0  61        0         0
#> 148.1 24.00      0  61        1         0
#> 152   24.00      0  36        0         1
#> 11    24.00      0  42        0         1
#> 33.2  24.00      0  53        0         0
#> 7     24.00      0  37        1         0
#> 193   24.00      0  45        0         1
#> 144.1 24.00      0  28        0         1
#> 132.2 24.00      0  55        0         0
#> 116.2 24.00      0  58        0         1
#> 161   24.00      0  45        0         0
#> 34.1  24.00      0  36        0         0
#> 19    24.00      0  57        0         1
#> 102   24.00      0  49        0         0
#> 178.2 24.00      0  52        1         0
#> 3     24.00      0  31        1         0
#> 152.1 24.00      0  36        0         1
#> 95    24.00      0  68        0         1
#> 67    24.00      0  25        0         0
#> 173   24.00      0  19        0         1
#> 156   24.00      0  50        1         0
#> 198.2 24.00      0  66        0         1
#> 156.1 24.00      0  50        1         0
#> 161.1 24.00      0  45        0         0
#> 3.1   24.00      0  31        1         0
#> 102.1 24.00      0  49        0         0
#> 2.1   24.00      0   9        0         0
#> 143.1 24.00      0  51        0         0
#> 115.1 24.00      0  NA        1         0
#> 147   24.00      0  76        1         0
#> 102.2 24.00      0  49        0         0
#> 1     24.00      0  23        1         0
#> 35.2  24.00      0  51        0         0
#> 34.2  24.00      0  36        0         0
#> 119   24.00      0  17        0         0
#> 71    24.00      0  51        0         0
#> 137.1 24.00      0  45        1         0
#> 82.1  24.00      0  34        0         0
#> 9.1   24.00      0  31        1         0
#> 182   24.00      0  35        0         0
#> 172.1 24.00      0  41        0         0
#> 65    24.00      0  57        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.350          NA        NA      NA
#> 2 age, Cure model         -0.00147        NA        NA      NA
#> 3 grade_ii, Cure model     0.825          NA        NA      NA
#> 4 grade_iii, Cure model    1.12           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00405        NA        NA      NA
#> 2 grade_ii, Survival model   0.704          NA        NA      NA
#> 3 grade_iii, Survival model  0.251          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.35044          -0.00147           0.82468           1.11757  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 252.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.35044449      -0.00146985       0.82468264       1.11756954 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004046555      0.704108905      0.251124055 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.408215958 0.814467498 0.235675426 0.929111772 0.960893819 0.326743867
#>   [7] 0.017939320 0.174375566 0.667141248 0.408215958 0.789238746 0.649670894
#>  [13] 0.559311293 0.789238746 0.265836529 0.945004272 0.195767056 0.667141248
#>  [19] 0.357730428 0.108873611 0.513639553 0.436786396 0.306392723 0.728533526
#>  [25] 0.984370081 0.326743867 0.754992014 0.839424872 0.446491428 0.347317293
#>  [31] 0.577414524 0.096415288 0.702378803 0.306392723 0.586528555 0.059089734
#>  [37] 0.494686079 0.185262097 0.904905371 0.921030345 0.408215958 0.702378803
#>  [43] 0.446491428 0.806013082 0.904905371 0.033374980 0.847786839 0.513639553
#>  [49] 0.005588849 0.631885721 0.163117275 0.814467498 0.513639553 0.033374980
#>  [55] 0.131939967 0.872151432 0.475367917 0.357730428 0.071799811 0.595634911
#>  [61] 0.649670894 0.702378803 0.984370081 0.120308857 0.195767056 0.549995204
#>  [67] 0.631885721 0.245661234 0.728533526 0.684691220 0.465638945 0.357730428
#>  [73] 0.131939967 0.084162373 0.357730428 0.494686079 0.195767056 0.746130520
#>  [79] 0.613788855 0.847786839 0.880345936 0.559311293 0.976523825 0.888537273
#>  [85] 0.285916260 0.831080824 0.513639553 0.296126815 0.847786839 0.485090301
#>  [91] 0.693539041 0.397967997 0.225366111 0.952947868 0.780647781 0.131939967
#>  [97] 0.255713734 0.754992014 0.960893819 0.613788855 0.754992014 0.265836529
#> [103] 0.929111772 0.896725475 0.595634911 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   134    37    32   187    25    88   168   197   157 134.1   154    18    79 
#> 17.81 12.52 20.90  9.92  6.32 18.37 23.72 21.60 15.10 17.81 12.63 15.21 16.23 
#> 154.1    58   183    36 157.1    51    63    85   117     8    81   127  88.1 
#> 12.63 19.34  9.24 21.19 15.10 18.23 22.77 16.44 17.46 18.43 14.06  3.53 18.37 
#>   123    56   111   108   188   113    13   8.1    26   129   181   153   145 
#> 13.00 12.21 17.45 18.29 16.16 22.86 14.34 18.43 15.77 23.41 16.46 21.33 10.07 
#>   101 134.2  13.1 111.1   177 145.1   164    49   192    24   167   175  37.1 
#>  9.97 17.81 14.34 17.45 12.53 10.07 23.60 12.19 16.44 23.89 15.55 21.91 12.52 
#> 192.1 164.1   194   159    45  51.1    69     6  18.1  13.2 127.1    15  36.1 
#> 16.44 23.60 22.40 10.55 17.42 18.23 23.23 15.64 15.21 14.34  3.53 22.68 21.19 
#>     5 167.1    68  81.1   180    30  51.2 194.1    92  51.3 181.1  36.2   155 
#> 16.43 15.55 20.62 14.06 14.82 17.43 18.23 22.40 22.92 18.23 16.46 21.19 13.08 
#>    39  49.1    52  79.1    91    93    76    42  85.1   179  49.2   106    57 
#> 15.59 12.19 10.42 16.23  5.33 10.33 19.22 12.43 16.44 18.63 12.19 16.67 14.46 
#>    40    90    16   140 194.2   150 123.1  25.1  39.1 123.2  58.1 187.1    61 
#> 18.00 20.94  8.71 12.68 22.40 20.33 13.00  6.32 15.59 13.00 19.34  9.92 10.12 
#>   6.1     9    53    46    33   104    35    44   191   131    12   198    31 
#> 15.64 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  33.1   116   132 131.1     2   137   121    82   109 116.1   120    34   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143    94   174   144   178 132.1 122.1   141   172   126 198.1 178.1  31.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148   135 121.1   151   162  35.1   160   112 148.1   152    11  33.2     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193 144.1 132.2 116.2   161  34.1    19   102 178.2     3 152.1    95    67 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   173   156 198.2 156.1 161.1   3.1 102.1   2.1 143.1   147 102.2     1  35.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  34.2   119    71 137.1  82.1   9.1   182 172.1    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[7]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00219808                0.52957798               -0.31493014 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.549165727             0.004798144             0.535308485 
#>   grade_iii, Cure model 
#>             0.820288236 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 187    9.92      1  39        1         0
#> 155   13.08      1  26        0         0
#> 81    14.06      1  34        0         0
#> 158   20.14      1  74        1         0
#> 157   15.10      1  47        0         0
#> 111   17.45      1  47        0         1
#> 36    21.19      1  48        0         1
#> 183    9.24      1  67        1         0
#> 128   20.35      1  35        0         1
#> 149    8.37      1  33        1         0
#> 108   18.29      1  39        0         1
#> 190   20.81      1  42        1         0
#> 140   12.68      1  59        1         0
#> 8     18.43      1  32        0         0
#> 36.1  21.19      1  48        0         1
#> 180   14.82      1  37        0         0
#> 13    14.34      1  54        0         1
#> 29    15.45      1  68        1         0
#> 91     5.33      1  61        0         1
#> 128.1 20.35      1  35        0         1
#> 96    14.54      1  33        0         1
#> 51    18.23      1  83        0         1
#> 30    17.43      1  78        0         0
#> 167   15.55      1  56        1         0
#> 108.1 18.29      1  39        0         1
#> 145   10.07      1  65        1         0
#> 60    13.15      1  38        1         0
#> 10    10.53      1  34        0         0
#> 190.1 20.81      1  42        1         0
#> 89    11.44      1  NA        0         0
#> 36.2  21.19      1  48        0         1
#> 69    23.23      1  25        0         1
#> 199   19.81      1  NA        0         1
#> 106   16.67      1  49        1         0
#> 128.2 20.35      1  35        0         1
#> 111.1 17.45      1  47        0         1
#> 155.1 13.08      1  26        0         0
#> 63    22.77      1  31        1         0
#> 45    17.42      1  54        0         1
#> 154   12.63      1  20        1         0
#> 29.1  15.45      1  68        1         0
#> 175   21.91      1  43        0         0
#> 167.1 15.55      1  56        1         0
#> 124    9.73      1  NA        1         0
#> 18    15.21      1  49        1         0
#> 159   10.55      1  50        0         1
#> 6     15.64      1  39        0         0
#> 15    22.68      1  48        0         0
#> 23    16.92      1  61        0         0
#> 59    10.16      1  NA        1         0
#> 199.1 19.81      1  NA        0         1
#> 170   19.54      1  43        0         1
#> 100   16.07      1  60        0         0
#> 124.1  9.73      1  NA        1         0
#> 167.2 15.55      1  56        1         0
#> 150   20.33      1  48        0         0
#> 69.1  23.23      1  25        0         1
#> 140.1 12.68      1  59        1         0
#> 195   11.76      1  NA        1         0
#> 164   23.60      1  76        0         1
#> 79    16.23      1  54        1         0
#> 199.2 19.81      1  NA        0         1
#> 58    19.34      1  39        0         0
#> 181   16.46      1  45        0         1
#> 199.3 19.81      1  NA        0         1
#> 164.1 23.60      1  76        0         1
#> 92    22.92      1  47        0         1
#> 68    20.62      1  44        0         0
#> 177   12.53      1  75        0         0
#> 155.2 13.08      1  26        0         0
#> 15.1  22.68      1  48        0         0
#> 179   18.63      1  42        0         0
#> 158.1 20.14      1  74        1         0
#> 50    10.02      1  NA        1         0
#> 107   11.18      1  54        1         0
#> 45.1  17.42      1  54        0         1
#> 140.2 12.68      1  59        1         0
#> 89.1  11.44      1  NA        0         0
#> 51.1  18.23      1  83        0         1
#> 179.1 18.63      1  42        0         0
#> 51.2  18.23      1  83        0         1
#> 113   22.86      1  34        0         0
#> 60.1  13.15      1  38        1         0
#> 85    16.44      1  36        0         0
#> 16     8.71      1  71        0         1
#> 59.1  10.16      1  NA        1         0
#> 89.2  11.44      1  NA        0         0
#> 107.1 11.18      1  54        1         0
#> 96.1  14.54      1  33        0         1
#> 134   17.81      1  47        1         0
#> 58.1  19.34      1  39        0         0
#> 8.1   18.43      1  32        0         0
#> 57    14.46      1  45        0         1
#> 70     7.38      1  30        1         0
#> 88    18.37      1  47        0         0
#> 100.1 16.07      1  60        0         0
#> 166   19.98      1  48        0         0
#> 30.1  17.43      1  78        0         0
#> 89.3  11.44      1  NA        0         0
#> 164.2 23.60      1  76        0         1
#> 18.1  15.21      1  49        1         0
#> 43    12.10      1  61        0         1
#> 134.1 17.81      1  47        1         0
#> 39    15.59      1  37        0         1
#> 181.1 16.46      1  45        0         1
#> 199.4 19.81      1  NA        0         1
#> 159.1 10.55      1  50        0         1
#> 171   16.57      1  41        0         1
#> 133   14.65      1  57        0         0
#> 45.2  17.42      1  54        0         1
#> 43.1  12.10      1  61        0         1
#> 79.1  16.23      1  54        1         0
#> 46    24.00      0  71        0         0
#> 182   24.00      0  35        0         0
#> 28    24.00      0  67        1         0
#> 12    24.00      0  63        0         0
#> 35    24.00      0  51        0         0
#> 182.1 24.00      0  35        0         0
#> 95    24.00      0  68        0         1
#> 172   24.00      0  41        0         0
#> 2     24.00      0   9        0         0
#> 80    24.00      0  41        0         0
#> 198   24.00      0  66        0         1
#> 27    24.00      0  63        1         0
#> 28.1  24.00      0  67        1         0
#> 126   24.00      0  48        0         0
#> 162   24.00      0  51        0         0
#> 122   24.00      0  66        0         0
#> 161   24.00      0  45        0         0
#> 7     24.00      0  37        1         0
#> 148   24.00      0  61        1         0
#> 161.1 24.00      0  45        0         0
#> 64    24.00      0  43        0         0
#> 104   24.00      0  50        1         0
#> 151   24.00      0  42        0         0
#> 7.1   24.00      0  37        1         0
#> 196   24.00      0  19        0         0
#> 34    24.00      0  36        0         0
#> 120   24.00      0  68        0         1
#> 126.1 24.00      0  48        0         0
#> 72    24.00      0  40        0         1
#> 95.1  24.00      0  68        0         1
#> 144   24.00      0  28        0         1
#> 64.1  24.00      0  43        0         0
#> 160   24.00      0  31        1         0
#> 163   24.00      0  66        0         0
#> 87    24.00      0  27        0         0
#> 198.1 24.00      0  66        0         1
#> 138   24.00      0  44        1         0
#> 198.2 24.00      0  66        0         1
#> 74    24.00      0  43        0         1
#> 11    24.00      0  42        0         1
#> 75    24.00      0  21        1         0
#> 47    24.00      0  38        0         1
#> 21    24.00      0  47        0         0
#> 174   24.00      0  49        1         0
#> 102   24.00      0  49        0         0
#> 33    24.00      0  53        0         0
#> 95.2  24.00      0  68        0         1
#> 31    24.00      0  36        0         1
#> 152   24.00      0  36        0         1
#> 74.1  24.00      0  43        0         1
#> 182.2 24.00      0  35        0         0
#> 7.2   24.00      0  37        1         0
#> 102.1 24.00      0  49        0         0
#> 120.1 24.00      0  68        0         1
#> 126.2 24.00      0  48        0         0
#> 75.1  24.00      0  21        1         0
#> 87.1  24.00      0  27        0         0
#> 20    24.00      0  46        1         0
#> 33.1  24.00      0  53        0         0
#> 121   24.00      0  57        1         0
#> 135   24.00      0  58        1         0
#> 27.1  24.00      0  63        1         0
#> 178   24.00      0  52        1         0
#> 71    24.00      0  51        0         0
#> 64.2  24.00      0  43        0         0
#> 67    24.00      0  25        0         0
#> 116   24.00      0  58        0         1
#> 165   24.00      0  47        0         0
#> 98    24.00      0  34        1         0
#> 48    24.00      0  31        1         0
#> 122.1 24.00      0  66        0         0
#> 72.1  24.00      0  40        0         1
#> 44    24.00      0  56        0         0
#> 196.1 24.00      0  19        0         0
#> 162.1 24.00      0  51        0         0
#> 118   24.00      0  44        1         0
#> 19    24.00      0  57        0         1
#> 87.2  24.00      0  27        0         0
#> 147   24.00      0  76        1         0
#> 44.1  24.00      0  56        0         0
#> 109   24.00      0  48        0         0
#> 116.1 24.00      0  58        0         1
#> 82    24.00      0  34        0         0
#> 174.1 24.00      0  49        1         0
#> 19.1  24.00      0  57        0         1
#> 119   24.00      0  17        0         0
#> 141   24.00      0  44        1         0
#> 198.3 24.00      0  66        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.549          NA        NA      NA
#> 2 age, Cure model          0.00480        NA        NA      NA
#> 3 grade_ii, Cure model     0.535          NA        NA      NA
#> 4 grade_iii, Cure model    0.820          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00220        NA        NA      NA
#> 2 grade_ii, Survival model   0.530          NA        NA      NA
#> 3 grade_iii, Survival model -0.315          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.549166          0.004798          0.535308          0.820288  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    256 
#> Residual Deviance: 249.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.549165727      0.004798144      0.535308485      0.820288236 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00219808       0.52957798      -0.31493014 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.93816600 0.77116900 0.73907343 0.19465431 0.66423154 0.37948874
#>   [7] 0.09583376 0.94853413 0.15454436 0.96920722 0.30556148 0.12561356
#>  [13] 0.80286642 0.27481407 0.09583376 0.67483856 0.72821951 0.62184120
#>  [19] 0.98973128 0.15454436 0.69609808 0.32645799 0.40090023 0.58954200
#>  [25] 0.30556148 0.92773347 0.74993884 0.91724525 0.12561356 0.09583376
#>  [31] 0.01949991 0.46660037 0.15454436 0.37948874 0.77116900 0.05757755
#>  [37] 0.42249367 0.83396051 0.62184120 0.08587756 0.58954200 0.64321958
#>  [43] 0.89640581 0.56704362 0.06730374 0.45534178 0.22424876 0.54487427
#>  [49] 0.58954200 0.18414568 0.01949991 0.80286642 0.00386177 0.52281591
#>  [55] 0.23445449 0.48892287 0.00386177 0.03618995 0.14463571 0.84437482
#>  [61] 0.77116900 0.06730374 0.25456336 0.19465431 0.87573273 0.42249367
#>  [67] 0.80286642 0.32645799 0.25456336 0.32645799 0.04679074 0.74993884
#>  [73] 0.51142102 0.95884974 0.87573273 0.69609808 0.35848254 0.23445449
#>  [79] 0.27481407 0.71742222 0.97950095 0.29516728 0.54487427 0.21419678
#>  [85] 0.40090023 0.00386177 0.64321958 0.85480869 0.35848254 0.57825701
#>  [91] 0.48892287 0.89640581 0.47771819 0.68545861 0.42249367 0.85480869
#>  [97] 0.52281591 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   187   155    81   158   157   111    36   183   128   149   108   190   140 
#>  9.92 13.08 14.06 20.14 15.10 17.45 21.19  9.24 20.35  8.37 18.29 20.81 12.68 
#>     8  36.1   180    13    29    91 128.1    96    51    30   167 108.1   145 
#> 18.43 21.19 14.82 14.34 15.45  5.33 20.35 14.54 18.23 17.43 15.55 18.29 10.07 
#>    60    10 190.1  36.2    69   106 128.2 111.1 155.1    63    45   154  29.1 
#> 13.15 10.53 20.81 21.19 23.23 16.67 20.35 17.45 13.08 22.77 17.42 12.63 15.45 
#>   175 167.1    18   159     6    15    23   170   100 167.2   150  69.1 140.1 
#> 21.91 15.55 15.21 10.55 15.64 22.68 16.92 19.54 16.07 15.55 20.33 23.23 12.68 
#>   164    79    58   181 164.1    92    68   177 155.2  15.1   179 158.1   107 
#> 23.60 16.23 19.34 16.46 23.60 22.92 20.62 12.53 13.08 22.68 18.63 20.14 11.18 
#>  45.1 140.2  51.1 179.1  51.2   113  60.1    85    16 107.1  96.1   134  58.1 
#> 17.42 12.68 18.23 18.63 18.23 22.86 13.15 16.44  8.71 11.18 14.54 17.81 19.34 
#>   8.1    57    70    88 100.1   166  30.1 164.2  18.1    43 134.1    39 181.1 
#> 18.43 14.46  7.38 18.37 16.07 19.98 17.43 23.60 15.21 12.10 17.81 15.59 16.46 
#> 159.1   171   133  45.2  43.1  79.1    46   182    28    12    35 182.1    95 
#> 10.55 16.57 14.65 17.42 12.10 16.23 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   172     2    80   198    27  28.1   126   162   122   161     7   148 161.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64   104   151   7.1   196    34   120 126.1    72  95.1   144  64.1   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   163    87 198.1   138 198.2    74    11    75    47    21   174   102    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  95.2    31   152  74.1 182.2   7.2 102.1 120.1 126.2  75.1  87.1    20  33.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121   135  27.1   178    71  64.2    67   116   165    98    48 122.1  72.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44 196.1 162.1   118    19  87.2   147  44.1   109 116.1    82 174.1  19.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   119   141 198.3 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[8]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01450895                0.63820481                0.56474755 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.41287894              0.01893673              0.94558702 
#>   grade_iii, Cure model 
#>              1.27449470 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 58    19.34      1  39        0         0
#> 159   10.55      1  50        0         1
#> 58.1  19.34      1  39        0         0
#> 55    19.34      1  69        0         1
#> 128   20.35      1  35        0         1
#> 43    12.10      1  61        0         1
#> 158   20.14      1  74        1         0
#> 171   16.57      1  41        0         1
#> 93    10.33      1  52        0         1
#> 123   13.00      1  44        1         0
#> 89    11.44      1  NA        0         0
#> 90    20.94      1  50        0         1
#> 154   12.63      1  20        1         0
#> 170   19.54      1  43        0         1
#> 139   21.49      1  63        1         0
#> 29    15.45      1  68        1         0
#> 190   20.81      1  42        1         0
#> 56    12.21      1  60        0         0
#> 37    12.52      1  57        1         0
#> 66    22.13      1  53        0         0
#> 24    23.89      1  38        0         0
#> 58.2  19.34      1  39        0         0
#> 25     6.32      1  34        1         0
#> 97    19.14      1  65        0         1
#> 149    8.37      1  33        1         0
#> 39    15.59      1  37        0         1
#> 91     5.33      1  61        0         1
#> 42    12.43      1  49        0         1
#> 57    14.46      1  45        0         1
#> 76    19.22      1  54        0         1
#> 125   15.65      1  67        1         0
#> 169   22.41      1  46        0         0
#> 97.1  19.14      1  65        0         1
#> 8     18.43      1  32        0         0
#> 133   14.65      1  57        0         0
#> 123.1 13.00      1  44        1         0
#> 60    13.15      1  38        1         0
#> 66.1  22.13      1  53        0         0
#> 189   10.51      1  NA        1         0
#> 49    12.19      1  48        1         0
#> 13    14.34      1  54        0         1
#> 140   12.68      1  59        1         0
#> 39.1  15.59      1  37        0         1
#> 195   11.76      1  NA        1         0
#> 76.1  19.22      1  54        0         1
#> 100   16.07      1  60        0         0
#> 197   21.60      1  69        1         0
#> 42.1  12.43      1  49        0         1
#> 99    21.19      1  38        0         1
#> 150   20.33      1  48        0         0
#> 194   22.40      1  38        0         1
#> 106   16.67      1  49        1         0
#> 36    21.19      1  48        0         1
#> 96    14.54      1  33        0         1
#> 145   10.07      1  65        1         0
#> 170.1 19.54      1  43        0         1
#> 29.1  15.45      1  68        1         0
#> 179   18.63      1  42        0         0
#> 106.1 16.67      1  49        1         0
#> 36.1  21.19      1  48        0         1
#> 136   21.83      1  43        0         1
#> 39.2  15.59      1  37        0         1
#> 40    18.00      1  28        1         0
#> 150.1 20.33      1  48        0         0
#> 133.1 14.65      1  57        0         0
#> 171.1 16.57      1  41        0         1
#> 39.3  15.59      1  37        0         1
#> 51    18.23      1  83        0         1
#> 194.1 22.40      1  38        0         1
#> 58.3  19.34      1  39        0         0
#> 30    17.43      1  78        0         0
#> 189.1 10.51      1  NA        1         0
#> 26    15.77      1  49        0         1
#> 66.2  22.13      1  53        0         0
#> 16     8.71      1  71        0         1
#> 124    9.73      1  NA        1         0
#> 171.2 16.57      1  41        0         1
#> 100.1 16.07      1  60        0         0
#> 69    23.23      1  25        0         1
#> 170.2 19.54      1  43        0         1
#> 16.1   8.71      1  71        0         1
#> 158.1 20.14      1  74        1         0
#> 77     7.27      1  67        0         1
#> 145.1 10.07      1  65        1         0
#> 175   21.91      1  43        0         0
#> 195.1 11.76      1  NA        1         0
#> 157   15.10      1  47        0         0
#> 57.1  14.46      1  45        0         1
#> 89.1  11.44      1  NA        0         0
#> 113   22.86      1  34        0         0
#> 43.1  12.10      1  61        0         1
#> 8.1   18.43      1  32        0         0
#> 97.2  19.14      1  65        0         1
#> 134   17.81      1  47        1         0
#> 79    16.23      1  54        1         0
#> 134.1 17.81      1  47        1         0
#> 166   19.98      1  48        0         0
#> 91.1   5.33      1  61        0         1
#> 149.1  8.37      1  33        1         0
#> 134.2 17.81      1  47        1         0
#> 39.4  15.59      1  37        0         1
#> 96.1  14.54      1  33        0         1
#> 49.1  12.19      1  48        1         0
#> 63    22.77      1  31        1         0
#> 153   21.33      1  55        1         0
#> 96.2  14.54      1  33        0         1
#> 101    9.97      1  10        0         1
#> 128.1 20.35      1  35        0         1
#> 107   11.18      1  54        1         0
#> 8.2   18.43      1  32        0         0
#> 32    20.90      1  37        1         0
#> 90.1  20.94      1  50        0         1
#> 191   24.00      0  60        0         1
#> 53    24.00      0  32        0         1
#> 112   24.00      0  61        0         0
#> 182   24.00      0  35        0         0
#> 7     24.00      0  37        1         0
#> 147   24.00      0  76        1         0
#> 182.1 24.00      0  35        0         0
#> 131   24.00      0  66        0         0
#> 138   24.00      0  44        1         0
#> 67    24.00      0  25        0         0
#> 75    24.00      0  21        1         0
#> 21    24.00      0  47        0         0
#> 119   24.00      0  17        0         0
#> 186   24.00      0  45        1         0
#> 131.1 24.00      0  66        0         0
#> 2     24.00      0   9        0         0
#> 115   24.00      0  NA        1         0
#> 138.1 24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 67.1  24.00      0  25        0         0
#> 141   24.00      0  44        1         0
#> 38    24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 35    24.00      0  51        0         0
#> 94    24.00      0  51        0         1
#> 115.1 24.00      0  NA        1         0
#> 72    24.00      0  40        0         1
#> 17    24.00      0  38        0         1
#> 172   24.00      0  41        0         0
#> 83    24.00      0   6        0         0
#> 47    24.00      0  38        0         1
#> 163   24.00      0  66        0         0
#> 72.1  24.00      0  40        0         1
#> 31.1  24.00      0  36        0         1
#> 75.1  24.00      0  21        1         0
#> 102   24.00      0  49        0         0
#> 109   24.00      0  48        0         0
#> 185   24.00      0  44        1         0
#> 34    24.00      0  36        0         0
#> 1     24.00      0  23        1         0
#> 142   24.00      0  53        0         0
#> 141.1 24.00      0  44        1         0
#> 11    24.00      0  42        0         1
#> 80    24.00      0  41        0         0
#> 176   24.00      0  43        0         1
#> 151   24.00      0  42        0         0
#> 38.1  24.00      0  31        1         0
#> 116   24.00      0  58        0         1
#> 122   24.00      0  66        0         0
#> 151.1 24.00      0  42        0         0
#> 161   24.00      0  45        0         0
#> 19    24.00      0  57        0         1
#> 102.1 24.00      0  49        0         0
#> 126   24.00      0  48        0         0
#> 38.2  24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 27    24.00      0  63        1         0
#> 163.1 24.00      0  66        0         0
#> 54    24.00      0  53        1         0
#> 186.1 24.00      0  45        1         0
#> 71    24.00      0  51        0         0
#> 17.1  24.00      0  38        0         1
#> 144   24.00      0  28        0         1
#> 109.1 24.00      0  48        0         0
#> 131.2 24.00      0  66        0         0
#> 2.1   24.00      0   9        0         0
#> 17.2  24.00      0  38        0         1
#> 146   24.00      0  63        1         0
#> 95    24.00      0  68        0         1
#> 104   24.00      0  50        1         0
#> 142.1 24.00      0  53        0         0
#> 132   24.00      0  55        0         0
#> 44    24.00      0  56        0         0
#> 31.2  24.00      0  36        0         1
#> 65    24.00      0  57        1         0
#> 33    24.00      0  53        0         0
#> 162   24.00      0  51        0         0
#> 94.1  24.00      0  51        0         1
#> 120   24.00      0  68        0         1
#> 84    24.00      0  39        0         1
#> 151.2 24.00      0  42        0         0
#> 72.2  24.00      0  40        0         1
#> 62    24.00      0  71        0         0
#> 165   24.00      0  47        0         0
#> 172.1 24.00      0  41        0         0
#> 131.3 24.00      0  66        0         0
#> 182.2 24.00      0  35        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.41          NA        NA      NA
#> 2 age, Cure model           0.0189        NA        NA      NA
#> 3 grade_ii, Cure model      0.946         NA        NA      NA
#> 4 grade_iii, Cure model     1.27          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0145        NA        NA      NA
#> 2 grade_ii, Survival model    0.638         NA        NA      NA
#> 3 grade_iii, Survival model   0.565         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.41288           0.01894           0.94559           1.27449  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 246.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.41287894       0.01893673       0.94558702       1.27449470 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01450895       0.63820481       0.56474755 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.6921196 0.9611269 0.6921196 0.6921196 0.6152139 0.9514583 0.6491380
#>   [8] 0.8152640 0.9643029 0.9170796 0.5769982 0.9277296 0.6715663 0.5187717
#>  [15] 0.8714342 0.6060623 0.9414691 0.9312325 0.4111484 0.1116581 0.6921196
#>  [22] 0.9914158 0.7361720 0.9826065 0.8511291 0.9943160 0.9346921 0.9023339
#>  [29] 0.7239076 0.8468202 0.3330699 0.7361720 0.7586397 0.8832429 0.9170796
#>  [36] 0.9134360 0.4111484 0.9448469 0.9097588 0.9242064 0.8511291 0.7239076
#>  [43] 0.8335282 0.5036030 0.9346921 0.5450909 0.6324048 0.3653236 0.8057265
#>  [50] 0.5450909 0.8909981 0.9674504 0.6715663 0.8714342 0.7530176 0.8057265
#>  [57] 0.5450909 0.4862666 0.8511291 0.7805276 0.6324048 0.8832429 0.8152640
#>  [64] 0.8511291 0.7751660 0.3653236 0.6921196 0.8007758 0.8424217 0.4111484
#>  [71] 0.9766419 0.8152640 0.8335282 0.1986647 0.6715663 0.9766419 0.6491380
#>  [78] 0.9884976 0.9674504 0.4673948 0.8793123 0.9023339 0.2511769 0.9514583
#>  [85] 0.7586397 0.7361720 0.7858223 0.8290023 0.7858223 0.6641184 0.9943160
#>  [92] 0.9826065 0.7858223 0.8511291 0.8909981 0.9448469 0.2975579 0.5324516
#>  [99] 0.8909981 0.9735815 0.6152139 0.9579231 0.7586397 0.5965544 0.5769982
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [190] 0.0000000 0.0000000
#> 
#> $Time
#>    58   159  58.1    55   128    43   158   171    93   123    90   154   170 
#> 19.34 10.55 19.34 19.34 20.35 12.10 20.14 16.57 10.33 13.00 20.94 12.63 19.54 
#>   139    29   190    56    37    66    24  58.2    25    97   149    39    91 
#> 21.49 15.45 20.81 12.21 12.52 22.13 23.89 19.34  6.32 19.14  8.37 15.59  5.33 
#>    42    57    76   125   169  97.1     8   133 123.1    60  66.1    49    13 
#> 12.43 14.46 19.22 15.65 22.41 19.14 18.43 14.65 13.00 13.15 22.13 12.19 14.34 
#>   140  39.1  76.1   100   197  42.1    99   150   194   106    36    96   145 
#> 12.68 15.59 19.22 16.07 21.60 12.43 21.19 20.33 22.40 16.67 21.19 14.54 10.07 
#> 170.1  29.1   179 106.1  36.1   136  39.2    40 150.1 133.1 171.1  39.3    51 
#> 19.54 15.45 18.63 16.67 21.19 21.83 15.59 18.00 20.33 14.65 16.57 15.59 18.23 
#> 194.1  58.3    30    26  66.2    16 171.2 100.1    69 170.2  16.1 158.1    77 
#> 22.40 19.34 17.43 15.77 22.13  8.71 16.57 16.07 23.23 19.54  8.71 20.14  7.27 
#> 145.1   175   157  57.1   113  43.1   8.1  97.2   134    79 134.1   166  91.1 
#> 10.07 21.91 15.10 14.46 22.86 12.10 18.43 19.14 17.81 16.23 17.81 19.98  5.33 
#> 149.1 134.2  39.4  96.1  49.1    63   153  96.2   101 128.1   107   8.2    32 
#>  8.37 17.81 15.59 14.54 12.19 22.77 21.33 14.54  9.97 20.35 11.18 18.43 20.90 
#>  90.1   191    53   112   182     7   147 182.1   131   138    67    75    21 
#> 20.94 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   119   186 131.1     2 138.1    31  67.1   141    38     9   193    35    94 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    72    17   172    83    47   163  72.1  31.1  75.1   102   109   185    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1   142 141.1    11    80   176   151  38.1   116   122 151.1   161    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 102.1   126  38.2    46    27 163.1    54 186.1    71  17.1   144 109.1 131.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   2.1  17.2   146    95   104 142.1   132    44  31.2    65    33   162  94.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120    84 151.2  72.2    62   165 172.1 131.3 182.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[9]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01271064                0.90021420                0.35526974 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.419749269            -0.011532172             0.009056175 
#>   grade_iii, Cure model 
#>             0.984460706 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 117   17.46      1  26        0         1
#> 194   22.40      1  38        0         1
#> 184   17.77      1  38        0         0
#> 96    14.54      1  33        0         1
#> 29    15.45      1  68        1         0
#> 171   16.57      1  41        0         1
#> 150   20.33      1  48        0         0
#> 26    15.77      1  49        0         1
#> 92    22.92      1  47        0         1
#> 42    12.43      1  49        0         1
#> 168   23.72      1  70        0         0
#> 45    17.42      1  54        0         1
#> 100   16.07      1  60        0         0
#> 78    23.88      1  43        0         0
#> 188   16.16      1  46        0         1
#> 134   17.81      1  47        1         0
#> 70     7.38      1  30        1         0
#> 189   10.51      1  NA        1         0
#> 39    15.59      1  37        0         1
#> 93    10.33      1  52        0         1
#> 70.1   7.38      1  30        1         0
#> 133   14.65      1  57        0         0
#> 159   10.55      1  50        0         1
#> 187    9.92      1  39        1         0
#> 41    18.02      1  40        1         0
#> 93.1  10.33      1  52        0         1
#> 70.2   7.38      1  30        1         0
#> 26.1  15.77      1  49        0         1
#> 81    14.06      1  34        0         0
#> 4     17.64      1  NA        0         1
#> 106   16.67      1  49        1         0
#> 89    11.44      1  NA        0         0
#> 123   13.00      1  44        1         0
#> 76    19.22      1  54        0         1
#> 123.1 13.00      1  44        1         0
#> 25     6.32      1  34        1         0
#> 184.1 17.77      1  38        0         0
#> 179   18.63      1  42        0         0
#> 154   12.63      1  20        1         0
#> 155   13.08      1  26        0         0
#> 37    12.52      1  57        1         0
#> 90    20.94      1  50        0         1
#> 70.3   7.38      1  30        1         0
#> 145   10.07      1  65        1         0
#> 170   19.54      1  43        0         1
#> 55    19.34      1  69        0         1
#> 113   22.86      1  34        0         0
#> 199   19.81      1  NA        0         1
#> 24    23.89      1  38        0         0
#> 166   19.98      1  48        0         0
#> 42.1  12.43      1  49        0         1
#> 107   11.18      1  54        1         0
#> 154.1 12.63      1  20        1         0
#> 111   17.45      1  47        0         1
#> 96.1  14.54      1  33        0         1
#> 194.1 22.40      1  38        0         1
#> 76.1  19.22      1  54        0         1
#> 187.1  9.92      1  39        1         0
#> 39.1  15.59      1  37        0         1
#> 153   21.33      1  55        1         0
#> 187.2  9.92      1  39        1         0
#> 107.1 11.18      1  54        1         0
#> 6     15.64      1  39        0         0
#> 14    12.89      1  21        0         0
#> 169   22.41      1  46        0         0
#> 117.1 17.46      1  26        0         1
#> 15    22.68      1  48        0         0
#> 124    9.73      1  NA        1         0
#> 129   23.41      1  53        1         0
#> 85    16.44      1  36        0         0
#> 106.1 16.67      1  49        1         0
#> 159.1 10.55      1  50        0         1
#> 69    23.23      1  25        0         1
#> 4.1   17.64      1  NA        0         1
#> 197   21.60      1  69        1         0
#> 43    12.10      1  61        0         1
#> 111.1 17.45      1  47        0         1
#> 127    3.53      1  62        0         1
#> 133.1 14.65      1  57        0         0
#> 89.1  11.44      1  NA        0         0
#> 52    10.42      1  52        0         1
#> 155.1 13.08      1  26        0         0
#> 16     8.71      1  71        0         1
#> 177   12.53      1  75        0         0
#> 96.2  14.54      1  33        0         1
#> 61    10.12      1  36        0         1
#> 133.2 14.65      1  57        0         0
#> 4.2   17.64      1  NA        0         1
#> 130   16.47      1  53        0         1
#> 13    14.34      1  54        0         1
#> 175   21.91      1  43        0         0
#> 18    15.21      1  49        1         0
#> 117.2 17.46      1  26        0         1
#> 155.2 13.08      1  26        0         0
#> 153.1 21.33      1  55        1         0
#> 79    16.23      1  54        1         0
#> 140   12.68      1  59        1         0
#> 29.1  15.45      1  68        1         0
#> 108   18.29      1  39        0         1
#> 92.1  22.92      1  47        0         1
#> 41.1  18.02      1  40        1         0
#> 117.3 17.46      1  26        0         1
#> 136   21.83      1  43        0         1
#> 170.1 19.54      1  43        0         1
#> 57    14.46      1  45        0         1
#> 81.1  14.06      1  34        0         0
#> 14.1  12.89      1  21        0         0
#> 76.2  19.22      1  54        0         1
#> 179.1 18.63      1  42        0         0
#> 150.1 20.33      1  48        0         0
#> 167   15.55      1  56        1         0
#> 36    21.19      1  48        0         1
#> 102   24.00      0  49        0         0
#> 1     24.00      0  23        1         0
#> 103   24.00      0  56        1         0
#> 2     24.00      0   9        0         0
#> 44    24.00      0  56        0         0
#> 94    24.00      0  51        0         1
#> 47    24.00      0  38        0         1
#> 64    24.00      0  43        0         0
#> 95    24.00      0  68        0         1
#> 151   24.00      0  42        0         0
#> 80    24.00      0  41        0         0
#> 64.1  24.00      0  43        0         0
#> 120   24.00      0  68        0         1
#> 200   24.00      0  64        0         0
#> 12    24.00      0  63        0         0
#> 112   24.00      0  61        0         0
#> 120.1 24.00      0  68        0         1
#> 102.1 24.00      0  49        0         0
#> 20    24.00      0  46        1         0
#> 34    24.00      0  36        0         0
#> 65    24.00      0  57        1         0
#> 148   24.00      0  61        1         0
#> 115   24.00      0  NA        1         0
#> 54    24.00      0  53        1         0
#> 3     24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 162   24.00      0  51        0         0
#> 104   24.00      0  50        1         0
#> 200.1 24.00      0  64        0         0
#> 162.1 24.00      0  51        0         0
#> 47.1  24.00      0  38        0         1
#> 7.1   24.00      0  37        1         0
#> 1.1   24.00      0  23        1         0
#> 120.2 24.00      0  68        0         1
#> 115.1 24.00      0  NA        1         0
#> 9     24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 31    24.00      0  36        0         1
#> 193   24.00      0  45        0         1
#> 115.2 24.00      0  NA        1         0
#> 141   24.00      0  44        1         0
#> 103.1 24.00      0  56        1         0
#> 200.2 24.00      0  64        0         0
#> 131   24.00      0  66        0         0
#> 122   24.00      0  66        0         0
#> 162.2 24.00      0  51        0         0
#> 174   24.00      0  49        1         0
#> 120.3 24.00      0  68        0         1
#> 186   24.00      0  45        1         0
#> 191   24.00      0  60        0         1
#> 54.1  24.00      0  53        1         0
#> 121   24.00      0  57        1         0
#> 120.4 24.00      0  68        0         1
#> 48    24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 196   24.00      0  19        0         0
#> 178   24.00      0  52        1         0
#> 104.1 24.00      0  50        1         0
#> 83    24.00      0   6        0         0
#> 83.1  24.00      0   6        0         0
#> 1.2   24.00      0  23        1         0
#> 109   24.00      0  48        0         0
#> 152   24.00      0  36        0         1
#> 64.2  24.00      0  43        0         0
#> 126   24.00      0  48        0         0
#> 174.1 24.00      0  49        1         0
#> 74    24.00      0  43        0         1
#> 131.1 24.00      0  66        0         0
#> 135   24.00      0  58        1         0
#> 173   24.00      0  19        0         1
#> 142   24.00      0  53        0         0
#> 137   24.00      0  45        1         0
#> 141.1 24.00      0  44        1         0
#> 137.1 24.00      0  45        1         0
#> 172   24.00      0  41        0         0
#> 132   24.00      0  55        0         0
#> 17    24.00      0  38        0         1
#> 186.1 24.00      0  45        1         0
#> 121.1 24.00      0  57        1         0
#> 84    24.00      0  39        0         1
#> 75    24.00      0  21        1         0
#> 191.1 24.00      0  60        0         1
#> 131.2 24.00      0  66        0         0
#> 178.1 24.00      0  52        1         0
#> 31.1  24.00      0  36        0         1
#> 75.1  24.00      0  21        1         0
#> 44.1  24.00      0  56        0         0
#> 160   24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.420          NA        NA      NA
#> 2 age, Cure model         -0.0115         NA        NA      NA
#> 3 grade_ii, Cure model     0.00906        NA        NA      NA
#> 4 grade_iii, Cure model    0.984          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0127        NA        NA      NA
#> 2 grade_ii, Survival model    0.900         NA        NA      NA
#> 3 grade_iii, Survival model   0.355         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.419749         -0.011532          0.009056          0.984461  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    258.5 
#> Residual Deviance: 248.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.419749269     -0.011532172      0.009056175      0.984460706 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01271064       0.90021420       0.35526974 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.2931029347 0.0603502122 0.2735710587 0.5637329754 0.5017541646
#>   [6] 0.3798953273 0.1328539283 0.4400505808 0.0266388672 0.7667969652
#>  [11] 0.0077985590 0.3503903005 0.4298732222 0.0033794910 0.4198228284
#>  [16] 0.2638941265 0.9382879593 0.4707626355 0.8524164919 0.9382879593
#>  [21] 0.5325453448 0.8201816297 0.8958423437 0.2446503142 0.8524164919
#>  [26] 0.9382879593 0.4400505808 0.6163965505 0.3604324135 0.6703179800
#>  [31] 0.1865201481 0.6703179800 0.9792716314 0.2735710587 0.2145712813
#>  [36] 0.7243908539 0.6378913510 0.7561327611 0.1244924207 0.9382879593
#>  [41] 0.8849531083 0.1590886543 0.1770822051 0.0384003998 0.0006681704
#>  [46] 0.1500072699 0.7667969652 0.7988979393 0.7243908539 0.3307502590
#>  [51] 0.5637329754 0.0603502122 0.1865201481 0.8958423437 0.4707626355
#>  [56] 0.1006355482 0.8958423437 0.7988979393 0.4603883267 0.6918297882
#>  [61] 0.0525431718 0.2931029347 0.0452189744 0.0145321157 0.3997617088
#>  [66] 0.3604324135 0.8201816297 0.0206125971 0.0921890368 0.7881153212
#>  [71] 0.3307502590 0.9896167496 0.5325453448 0.8416011986 0.6378913510
#>  [76] 0.9275453671 0.7454395905 0.5637329754 0.8740535703 0.5325453448
#>  [81] 0.3897940013 0.6056860401 0.0754077330 0.5222566613 0.2931029347
#>  [86] 0.6378913510 0.1006355482 0.4098215275 0.7134994881 0.5017541646
#>  [91] 0.2344387117 0.0266388672 0.2446503142 0.2931029347 0.0837248978
#>  [96] 0.1590886543 0.5950286538 0.6163965505 0.6918297882 0.1865201481
#> [101] 0.2145712813 0.1328539283 0.4913804086 0.1162661112 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>   117   194   184    96    29   171   150    26    92    42   168    45   100 
#> 17.46 22.40 17.77 14.54 15.45 16.57 20.33 15.77 22.92 12.43 23.72 17.42 16.07 
#>    78   188   134    70    39    93  70.1   133   159   187    41  93.1  70.2 
#> 23.88 16.16 17.81  7.38 15.59 10.33  7.38 14.65 10.55  9.92 18.02 10.33  7.38 
#>  26.1    81   106   123    76 123.1    25 184.1   179   154   155    37    90 
#> 15.77 14.06 16.67 13.00 19.22 13.00  6.32 17.77 18.63 12.63 13.08 12.52 20.94 
#>  70.3   145   170    55   113    24   166  42.1   107 154.1   111  96.1 194.1 
#>  7.38 10.07 19.54 19.34 22.86 23.89 19.98 12.43 11.18 12.63 17.45 14.54 22.40 
#>  76.1 187.1  39.1   153 187.2 107.1     6    14   169 117.1    15   129    85 
#> 19.22  9.92 15.59 21.33  9.92 11.18 15.64 12.89 22.41 17.46 22.68 23.41 16.44 
#> 106.1 159.1    69   197    43 111.1   127 133.1    52 155.1    16   177  96.2 
#> 16.67 10.55 23.23 21.60 12.10 17.45  3.53 14.65 10.42 13.08  8.71 12.53 14.54 
#>    61 133.2   130    13   175    18 117.2 155.2 153.1    79   140  29.1   108 
#> 10.12 14.65 16.47 14.34 21.91 15.21 17.46 13.08 21.33 16.23 12.68 15.45 18.29 
#>  92.1  41.1 117.3   136 170.1    57  81.1  14.1  76.2 179.1 150.1   167    36 
#> 22.92 18.02 17.46 21.83 19.54 14.46 14.06 12.89 19.22 18.63 20.33 15.55 21.19 
#>   102     1   103     2    44    94    47    64    95   151    80  64.1   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200    12   112 120.1 102.1    20    34    65   148    54     3     7   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104 200.1 162.1  47.1   7.1   1.1 120.2     9    31   193   141 103.1 200.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131   122 162.2   174 120.3   186   191  54.1   121 120.4    48    28   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178 104.1    83  83.1   1.2   109   152  64.2   126 174.1    74 131.1   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   173   142   137 141.1 137.1   172   132    17 186.1 121.1    84    75 191.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.2 178.1  31.1  75.1  44.1   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[10]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              6.680824e-05              3.240023e-01              5.787409e-01 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.60362364              0.01500539             -0.20753614 
#>   grade_iii, Cure model 
#>              0.64038247 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 78    23.88      1  43        0         0
#> 37    12.52      1  57        1         0
#> 194   22.40      1  38        0         1
#> 88    18.37      1  47        0         0
#> 63    22.77      1  31        1         0
#> 125   15.65      1  67        1         0
#> 117   17.46      1  26        0         1
#> 187    9.92      1  39        1         0
#> 10    10.53      1  34        0         0
#> 188   16.16      1  46        0         1
#> 51    18.23      1  83        0         1
#> 77     7.27      1  67        0         1
#> 24    23.89      1  38        0         0
#> 184   17.77      1  38        0         0
#> 85    16.44      1  36        0         0
#> 177   12.53      1  75        0         0
#> 88.1  18.37      1  47        0         0
#> 100   16.07      1  60        0         0
#> 195   11.76      1  NA        1         0
#> 180   14.82      1  37        0         0
#> 39    15.59      1  37        0         1
#> 179   18.63      1  42        0         0
#> 57    14.46      1  45        0         1
#> 14    12.89      1  21        0         0
#> 184.1 17.77      1  38        0         0
#> 171   16.57      1  41        0         1
#> 159   10.55      1  50        0         1
#> 154   12.63      1  20        1         0
#> 5     16.43      1  51        0         1
#> 5.1   16.43      1  51        0         1
#> 158   20.14      1  74        1         0
#> 134   17.81      1  47        1         0
#> 100.1 16.07      1  60        0         0
#> 24.1  23.89      1  38        0         0
#> 77.1   7.27      1  67        0         1
#> 37.1  12.52      1  57        1         0
#> 189   10.51      1  NA        1         0
#> 41    18.02      1  40        1         0
#> 197   21.60      1  69        1         0
#> 8     18.43      1  32        0         0
#> 15    22.68      1  48        0         0
#> 175   21.91      1  43        0         0
#> 168   23.72      1  70        0         0
#> 43    12.10      1  61        0         1
#> 85.1  16.44      1  36        0         0
#> 66    22.13      1  53        0         0
#> 15.1  22.68      1  48        0         0
#> 127    3.53      1  62        0         1
#> 127.1  3.53      1  62        0         1
#> 26    15.77      1  49        0         1
#> 52    10.42      1  52        0         1
#> 93    10.33      1  52        0         1
#> 88.2  18.37      1  47        0         0
#> 6     15.64      1  39        0         0
#> 63.1  22.77      1  31        1         0
#> 85.2  16.44      1  36        0         0
#> 181   16.46      1  45        0         1
#> 117.1 17.46      1  26        0         1
#> 184.2 17.77      1  38        0         0
#> 175.1 21.91      1  43        0         0
#> 150   20.33      1  48        0         0
#> 41.1  18.02      1  40        1         0
#> 149    8.37      1  33        1         0
#> 26.1  15.77      1  49        0         1
#> 150.1 20.33      1  48        0         0
#> 175.2 21.91      1  43        0         0
#> 129   23.41      1  53        1         0
#> 36    21.19      1  48        0         1
#> 49    12.19      1  48        1         0
#> 39.1  15.59      1  37        0         1
#> 145   10.07      1  65        1         0
#> 197.1 21.60      1  69        1         0
#> 197.2 21.60      1  69        1         0
#> 154.1 12.63      1  20        1         0
#> 167   15.55      1  56        1         0
#> 86    23.81      1  58        0         1
#> 194.1 22.40      1  38        0         1
#> 190   20.81      1  42        1         0
#> 51.1  18.23      1  83        0         1
#> 50    10.02      1  NA        1         0
#> 25     6.32      1  34        1         0
#> 77.2   7.27      1  67        0         1
#> 91     5.33      1  61        0         1
#> 136   21.83      1  43        0         1
#> 171.1 16.57      1  41        0         1
#> 129.1 23.41      1  53        1         0
#> 197.3 21.60      1  69        1         0
#> 188.1 16.16      1  46        0         1
#> 129.2 23.41      1  53        1         0
#> 66.1  22.13      1  53        0         0
#> 111   17.45      1  47        0         1
#> 164   23.60      1  76        0         1
#> 139   21.49      1  63        1         0
#> 145.1 10.07      1  65        1         0
#> 56    12.21      1  60        0         0
#> 92    22.92      1  47        0         1
#> 60    13.15      1  38        1         0
#> 183    9.24      1  67        1         0
#> 125.1 15.65      1  67        1         0
#> 190.1 20.81      1  42        1         0
#> 30    17.43      1  78        0         0
#> 124    9.73      1  NA        1         0
#> 16     8.71      1  71        0         1
#> 8.1   18.43      1  32        0         0
#> 30.1  17.43      1  78        0         0
#> 189.1 10.51      1  NA        1         0
#> 96    14.54      1  33        0         1
#> 40    18.00      1  28        1         0
#> 130   16.47      1  53        0         1
#> 56.1  12.21      1  60        0         0
#> 51.2  18.23      1  83        0         1
#> 5.2   16.43      1  51        0         1
#> 152   24.00      0  36        0         1
#> 151   24.00      0  42        0         0
#> 182   24.00      0  35        0         0
#> 143   24.00      0  51        0         0
#> 94    24.00      0  51        0         1
#> 185   24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 174   24.00      0  49        1         0
#> 132   24.00      0  55        0         0
#> 137   24.00      0  45        1         0
#> 27    24.00      0  63        1         0
#> 17    24.00      0  38        0         1
#> 7     24.00      0  37        1         0
#> 28    24.00      0  67        1         0
#> 31    24.00      0  36        0         1
#> 104   24.00      0  50        1         0
#> 73    24.00      0  NA        0         1
#> 33    24.00      0  53        0         0
#> 163   24.00      0  66        0         0
#> 121   24.00      0  57        1         0
#> 87    24.00      0  27        0         0
#> 178   24.00      0  52        1         0
#> 141   24.00      0  44        1         0
#> 165   24.00      0  47        0         0
#> 161   24.00      0  45        0         0
#> 21    24.00      0  47        0         0
#> 165.1 24.00      0  47        0         0
#> 47    24.00      0  38        0         1
#> 62    24.00      0  71        0         0
#> 174.1 24.00      0  49        1         0
#> 156   24.00      0  50        1         0
#> 193   24.00      0  45        0         1
#> 147   24.00      0  76        1         0
#> 102   24.00      0  49        0         0
#> 9     24.00      0  31        1         0
#> 116   24.00      0  58        0         1
#> 122   24.00      0  66        0         0
#> 142   24.00      0  53        0         0
#> 198   24.00      0  66        0         1
#> 74    24.00      0  43        0         1
#> 135   24.00      0  58        1         0
#> 9.1   24.00      0  31        1         0
#> 27.1  24.00      0  63        1         0
#> 75    24.00      0  21        1         0
#> 122.1 24.00      0  66        0         0
#> 126   24.00      0  48        0         0
#> 82.1  24.00      0  34        0         0
#> 144   24.00      0  28        0         1
#> 72    24.00      0  40        0         1
#> 131   24.00      0  66        0         0
#> 152.1 24.00      0  36        0         1
#> 178.1 24.00      0  52        1         0
#> 156.1 24.00      0  50        1         0
#> 19    24.00      0  57        0         1
#> 38    24.00      0  31        1         0
#> 7.1   24.00      0  37        1         0
#> 33.1  24.00      0  53        0         0
#> 138   24.00      0  44        1         0
#> 102.1 24.00      0  49        0         0
#> 33.2  24.00      0  53        0         0
#> 72.1  24.00      0  40        0         1
#> 73.1  24.00      0  NA        0         1
#> 2     24.00      0   9        0         0
#> 22    24.00      0  52        1         0
#> 20    24.00      0  46        1         0
#> 73.2  24.00      0  NA        0         1
#> 48    24.00      0  31        1         0
#> 19.1  24.00      0  57        0         1
#> 162   24.00      0  51        0         0
#> 80    24.00      0  41        0         0
#> 163.1 24.00      0  66        0         0
#> 138.1 24.00      0  44        1         0
#> 142.1 24.00      0  53        0         0
#> 75.1  24.00      0  21        1         0
#> 67    24.00      0  25        0         0
#> 22.1  24.00      0  52        1         0
#> 103   24.00      0  56        1         0
#> 193.1 24.00      0  45        0         1
#> 102.2 24.00      0  49        0         0
#> 46    24.00      0  71        0         0
#> 53    24.00      0  32        0         1
#> 98    24.00      0  34        1         0
#> 131.1 24.00      0  66        0         0
#> 7.2   24.00      0  37        1         0
#> 84    24.00      0  39        0         1
#> 103.1 24.00      0  56        1         0
#> 38.1  24.00      0  31        1         0
#> 104.1 24.00      0  50        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.604         NA        NA      NA
#> 2 age, Cure model           0.0150        NA        NA      NA
#> 3 grade_ii, Cure model     -0.208         NA        NA      NA
#> 4 grade_iii, Cure model     0.640         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.0000668        NA        NA      NA
#> 2 grade_ii, Survival model  0.324            NA        NA      NA
#> 3 grade_iii, Survival model 0.579            NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.60362           0.01501          -0.20754           0.64038  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    263.6 
#> Residual Deviance: 255.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.60362364       0.01500539      -0.20753614       0.64038247 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     6.680824e-05     3.240023e-01     5.787409e-01 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.05606912 0.84029323 0.22860852 0.45038832 0.18133044 0.73665082
#>   [7] 0.56698233 0.92556155 0.89049107 0.69039482 0.47845465 0.95321325
#>  [13] 0.02067904 0.54084296 0.64263457 0.83302550 0.45038832 0.70590063
#>  [19] 0.78171932 0.75937510 0.42191026 0.79657103 0.81123421 0.54084296
#>  [25] 0.60961232 0.88338825 0.81855280 0.66685228 0.66685228 0.41234577
#>  [31] 0.53198455 0.70590063 0.02067904 0.95321325 0.84029323 0.50527310
#>  [37] 0.31521583 0.43147416 0.20497233 0.27231893 0.09629603 0.87624003
#>  [43] 0.64263457 0.25046650 0.20497233 0.98678301 0.98678301 0.72140508
#>  [49] 0.89759376 0.90465233 0.45038832 0.75177486 0.18133044 0.64263457
#>  [55] 0.63445770 0.56698233 0.54084296 0.27231893 0.39326832 0.50527310
#>  [61] 0.94633998 0.72140508 0.39326832 0.27231893 0.13050155 0.36432634
#>  [67] 0.86904539 0.75937510 0.91166766 0.31521583 0.31521583 0.81855280
#>  [73] 0.77426577 0.07818176 0.22860852 0.37418808 0.47845465 0.97334248
#>  [79] 0.95321325 0.98008097 0.30442445 0.60961232 0.13050155 0.31521583
#>  [85] 0.69039482 0.13050155 0.25046650 0.58412745 0.11440456 0.35424928
#>  [91] 0.91166766 0.85466979 0.16842845 0.80391553 0.93251453 0.73665082
#>  [97] 0.37418808 0.59266423 0.93944740 0.43147416 0.59266423 0.78917270
#> [103] 0.52306869 0.62619682 0.85466979 0.47845465 0.66685228 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    78    37   194    88    63   125   117   187    10   188    51    77    24 
#> 23.88 12.52 22.40 18.37 22.77 15.65 17.46  9.92 10.53 16.16 18.23  7.27 23.89 
#>   184    85   177  88.1   100   180    39   179    57    14 184.1   171   159 
#> 17.77 16.44 12.53 18.37 16.07 14.82 15.59 18.63 14.46 12.89 17.77 16.57 10.55 
#>   154     5   5.1   158   134 100.1  24.1  77.1  37.1    41   197     8    15 
#> 12.63 16.43 16.43 20.14 17.81 16.07 23.89  7.27 12.52 18.02 21.60 18.43 22.68 
#>   175   168    43  85.1    66  15.1   127 127.1    26    52    93  88.2     6 
#> 21.91 23.72 12.10 16.44 22.13 22.68  3.53  3.53 15.77 10.42 10.33 18.37 15.64 
#>  63.1  85.2   181 117.1 184.2 175.1   150  41.1   149  26.1 150.1 175.2   129 
#> 22.77 16.44 16.46 17.46 17.77 21.91 20.33 18.02  8.37 15.77 20.33 21.91 23.41 
#>    36    49  39.1   145 197.1 197.2 154.1   167    86 194.1   190  51.1    25 
#> 21.19 12.19 15.59 10.07 21.60 21.60 12.63 15.55 23.81 22.40 20.81 18.23  6.32 
#>  77.2    91   136 171.1 129.1 197.3 188.1 129.2  66.1   111   164   139 145.1 
#>  7.27  5.33 21.83 16.57 23.41 21.60 16.16 23.41 22.13 17.45 23.60 21.49 10.07 
#>    56    92    60   183 125.1 190.1    30    16   8.1  30.1    96    40   130 
#> 12.21 22.92 13.15  9.24 15.65 20.81 17.43  8.71 18.43 17.43 14.54 18.00 16.47 
#>  56.1  51.2   5.2   152   151   182   143    94   185    82   174   132   137 
#> 12.21 18.23 16.43 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27    17     7    28    31   104    33   163   121    87   178   141   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161    21 165.1    47    62 174.1   156   193   147   102     9   116   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142   198    74   135   9.1  27.1    75 122.1   126  82.1   144    72   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 152.1 178.1 156.1    19    38   7.1  33.1   138 102.1  33.2  72.1     2    22 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20    48  19.1   162    80 163.1 138.1 142.1  75.1    67  22.1   103 193.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 102.2    46    53    98 131.1   7.2    84 103.1  38.1 104.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[11]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.008125443               1.480114032               0.807379074 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.547552155             0.005292691             0.396798799 
#>   grade_iii, Cure model 
#>             1.064209603 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 50    10.02      1  NA        1         0
#> 45    17.42      1  54        0         1
#> 79    16.23      1  54        1         0
#> 70     7.38      1  30        1         0
#> 36    21.19      1  48        0         1
#> 45.1  17.42      1  54        0         1
#> 189   10.51      1  NA        1         0
#> 60    13.15      1  38        1         0
#> 133   14.65      1  57        0         0
#> 40    18.00      1  28        1         0
#> 105   19.75      1  60        0         0
#> 90    20.94      1  50        0         1
#> 97    19.14      1  65        0         1
#> 30    17.43      1  78        0         0
#> 101    9.97      1  10        0         1
#> 18    15.21      1  49        1         0
#> 113   22.86      1  34        0         0
#> 105.1 19.75      1  60        0         0
#> 123   13.00      1  44        1         0
#> 159   10.55      1  50        0         1
#> 150   20.33      1  48        0         0
#> 88    18.37      1  47        0         0
#> 29    15.45      1  68        1         0
#> 60.1  13.15      1  38        1         0
#> 88.1  18.37      1  47        0         0
#> 154   12.63      1  20        1         0
#> 181   16.46      1  45        0         1
#> 60.2  13.15      1  38        1         0
#> 111   17.45      1  47        0         1
#> 55    19.34      1  69        0         1
#> 175   21.91      1  43        0         0
#> 127    3.53      1  62        0         1
#> 36.1  21.19      1  48        0         1
#> 111.1 17.45      1  47        0         1
#> 26    15.77      1  49        0         1
#> 8     18.43      1  32        0         0
#> 117   17.46      1  26        0         1
#> 32    20.90      1  37        1         0
#> 50.1  10.02      1  NA        1         0
#> 125   15.65      1  67        1         0
#> 159.1 10.55      1  50        0         1
#> 145   10.07      1  65        1         0
#> 76    19.22      1  54        0         1
#> 45.2  17.42      1  54        0         1
#> 134   17.81      1  47        1         0
#> 69    23.23      1  25        0         1
#> 140   12.68      1  59        1         0
#> 194   22.40      1  38        0         1
#> 100   16.07      1  60        0         0
#> 106   16.67      1  49        1         0
#> 145.1 10.07      1  65        1         0
#> 37    12.52      1  57        1         0
#> 134.1 17.81      1  47        1         0
#> 42    12.43      1  49        0         1
#> 181.1 16.46      1  45        0         1
#> 168   23.72      1  70        0         0
#> 8.1   18.43      1  32        0         0
#> 110   17.56      1  65        0         1
#> 145.2 10.07      1  65        1         0
#> 97.1  19.14      1  65        0         1
#> 49    12.19      1  48        1         0
#> 66    22.13      1  53        0         0
#> 183    9.24      1  67        1         0
#> 127.1  3.53      1  62        0         1
#> 4     17.64      1  NA        0         1
#> 134.2 17.81      1  47        1         0
#> 39    15.59      1  37        0         1
#> 167   15.55      1  56        1         0
#> 136   21.83      1  43        0         1
#> 66.1  22.13      1  53        0         0
#> 105.2 19.75      1  60        0         0
#> 158   20.14      1  74        1         0
#> 192   16.44      1  31        1         0
#> 171   16.57      1  41        0         1
#> 150.1 20.33      1  48        0         0
#> 52    10.42      1  52        0         1
#> 25     6.32      1  34        1         0
#> 36.2  21.19      1  48        0         1
#> 29.1  15.45      1  68        1         0
#> 199   19.81      1  NA        0         1
#> 42.1  12.43      1  49        0         1
#> 99    21.19      1  38        0         1
#> 188   16.16      1  46        0         1
#> 113.1 22.86      1  34        0         0
#> 23    16.92      1  61        0         0
#> 88.2  18.37      1  47        0         0
#> 189.1 10.51      1  NA        1         0
#> 192.1 16.44      1  31        1         0
#> 42.2  12.43      1  49        0         1
#> 70.1   7.38      1  30        1         0
#> 96    14.54      1  33        0         1
#> 49.1  12.19      1  48        1         0
#> 15    22.68      1  48        0         0
#> 18.1  15.21      1  49        1         0
#> 68    20.62      1  44        0         0
#> 110.1 17.56      1  65        0         1
#> 190   20.81      1  42        1         0
#> 187    9.92      1  39        1         0
#> 195   11.76      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 125.1 15.65      1  67        1         0
#> 177   12.53      1  75        0         0
#> 49.2  12.19      1  48        1         0
#> 88.3  18.37      1  47        0         0
#> 189.2 10.51      1  NA        1         0
#> 93    10.33      1  52        0         1
#> 29.2  15.45      1  68        1         0
#> 37.1  12.52      1  57        1         0
#> 26.1  15.77      1  49        0         1
#> 158.1 20.14      1  74        1         0
#> 106.1 16.67      1  49        1         0
#> 52.1  10.42      1  52        0         1
#> 146   24.00      0  63        1         0
#> 174   24.00      0  49        1         0
#> 147   24.00      0  76        1         0
#> 160   24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 28    24.00      0  67        1         0
#> 22    24.00      0  52        1         0
#> 2     24.00      0   9        0         0
#> 163   24.00      0  66        0         0
#> 122   24.00      0  66        0         0
#> 21    24.00      0  47        0         0
#> 95    24.00      0  68        0         1
#> 122.1 24.00      0  66        0         0
#> 138   24.00      0  44        1         0
#> 22.1  24.00      0  52        1         0
#> 22.2  24.00      0  52        1         0
#> 9     24.00      0  31        1         0
#> 135   24.00      0  58        1         0
#> 38    24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 162   24.00      0  51        0         0
#> 84    24.00      0  39        0         1
#> 19    24.00      0  57        0         1
#> 161   24.00      0  45        0         0
#> 71    24.00      0  51        0         0
#> 9.1   24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 137   24.00      0  45        1         0
#> 200   24.00      0  64        0         0
#> 186   24.00      0  45        1         0
#> 141   24.00      0  44        1         0
#> 160.1 24.00      0  31        1         0
#> 75.1  24.00      0  21        1         0
#> 62    24.00      0  71        0         0
#> 141.1 24.00      0  44        1         0
#> 83    24.00      0   6        0         0
#> 147.1 24.00      0  76        1         0
#> 191   24.00      0  60        0         1
#> 44    24.00      0  56        0         0
#> 198   24.00      0  66        0         1
#> 132   24.00      0  55        0         0
#> 119.1 24.00      0  17        0         0
#> 182   24.00      0  35        0         0
#> 132.1 24.00      0  55        0         0
#> 116   24.00      0  58        0         1
#> 116.1 24.00      0  58        0         1
#> 95.1  24.00      0  68        0         1
#> 176   24.00      0  43        0         1
#> 161.1 24.00      0  45        0         0
#> 144   24.00      0  28        0         1
#> 27    24.00      0  63        1         0
#> 163.1 24.00      0  66        0         0
#> 119.2 24.00      0  17        0         0
#> 144.1 24.00      0  28        0         1
#> 120   24.00      0  68        0         1
#> 28.1  24.00      0  67        1         0
#> 53    24.00      0  32        0         1
#> 27.1  24.00      0  63        1         0
#> 84.1  24.00      0  39        0         1
#> 122.2 24.00      0  66        0         0
#> 142.1 24.00      0  53        0         0
#> 148   24.00      0  61        1         0
#> 131   24.00      0  66        0         0
#> 163.2 24.00      0  66        0         0
#> 64    24.00      0  43        0         0
#> 142.2 24.00      0  53        0         0
#> 147.2 24.00      0  76        1         0
#> 84.2  24.00      0  39        0         1
#> 173   24.00      0  19        0         1
#> 115   24.00      0  NA        1         0
#> 104   24.00      0  50        1         0
#> 186.1 24.00      0  45        1         0
#> 98    24.00      0  34        1         0
#> 112   24.00      0  61        0         0
#> 46    24.00      0  71        0         0
#> 160.2 24.00      0  31        1         0
#> 38.1  24.00      0  31        1         0
#> 122.3 24.00      0  66        0         0
#> 138.1 24.00      0  44        1         0
#> 34    24.00      0  36        0         0
#> 185   24.00      0  44        1         0
#> 19.1  24.00      0  57        0         1
#> 160.3 24.00      0  31        1         0
#> 163.3 24.00      0  66        0         0
#> 191.1 24.00      0  60        0         1
#> 122.4 24.00      0  66        0         0
#> 54    24.00      0  53        1         0
#> 48    24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.548          NA        NA      NA
#> 2 age, Cure model          0.00529        NA        NA      NA
#> 3 grade_ii, Cure model     0.397          NA        NA      NA
#> 4 grade_iii, Cure model    1.06           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00813        NA        NA      NA
#> 2 grade_ii, Survival model   1.48           NA        NA      NA
#> 3 grade_iii, Survival model  0.807          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.547552          0.005293          0.396799          1.064210  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 255.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.547552155      0.005292691      0.396798799      1.064209603 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.008125443      1.480114032      0.807379074 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.79994423 0.85460444 0.98834312 0.48371809 0.79994423 0.91605323
#>   [7] 0.90929815 0.73970270 0.63663687 0.54456461 0.67952471 0.79431704
#>  [13] 0.98098972 0.90251670 0.25557824 0.63663687 0.92559074 0.96027929
#>  [19] 0.59596976 0.71011949 0.89192335 0.91605323 0.71011949 0.93179384
#>  [25] 0.83601484 0.91605323 0.78303205 0.66278203 0.43551038 0.99539466
#>  [31] 0.48371809 0.78303205 0.86770384 0.69487209 0.77717554 0.55943216
#>  [37] 0.87616564 0.96027929 0.97352629 0.67128263 0.79994423 0.74688292
#>  [43] 0.21592530 0.92872386 0.35656522 0.86336335 0.82120478 0.97352629
#>  [49] 0.93784241 0.74688292 0.94364967 0.83601484 0.15773143 0.69487209
#>  [55] 0.76534957 0.97352629 0.67952471 0.95216365 0.38485468 0.98592871
#>  [61] 0.99539466 0.74688292 0.88412239 0.88807361 0.46098291 0.38485468
#>  [67] 0.63663687 0.61861718 0.84554714 0.83110985 0.59596976 0.96562600
#>  [73] 0.99306000 0.48371809 0.89192335 0.94364967 0.48371809 0.85900910
#>  [79] 0.25557824 0.81588021 0.71011949 0.84554714 0.94364967 0.98834312
#>  [85] 0.91268776 0.95216365 0.32277730 0.90251670 0.58432327 0.76534957
#>  [91] 0.57257617 0.98347481 0.07792748 0.87616564 0.93482223 0.95216365
#>  [97] 0.71011949 0.97090199 0.89192335 0.93784241 0.86770384 0.61861718
#> [103] 0.82120478 0.96562600 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    45    79    70    36  45.1    60   133    40   105    90    97    30   101 
#> 17.42 16.23  7.38 21.19 17.42 13.15 14.65 18.00 19.75 20.94 19.14 17.43  9.97 
#>    18   113 105.1   123   159   150    88    29  60.1  88.1   154   181  60.2 
#> 15.21 22.86 19.75 13.00 10.55 20.33 18.37 15.45 13.15 18.37 12.63 16.46 13.15 
#>   111    55   175   127  36.1 111.1    26     8   117    32   125 159.1   145 
#> 17.45 19.34 21.91  3.53 21.19 17.45 15.77 18.43 17.46 20.90 15.65 10.55 10.07 
#>    76  45.2   134    69   140   194   100   106 145.1    37 134.1    42 181.1 
#> 19.22 17.42 17.81 23.23 12.68 22.40 16.07 16.67 10.07 12.52 17.81 12.43 16.46 
#>   168   8.1   110 145.2  97.1    49    66   183 127.1 134.2    39   167   136 
#> 23.72 18.43 17.56 10.07 19.14 12.19 22.13  9.24  3.53 17.81 15.59 15.55 21.83 
#>  66.1 105.2   158   192   171 150.1    52    25  36.2  29.1  42.1    99   188 
#> 22.13 19.75 20.14 16.44 16.57 20.33 10.42  6.32 21.19 15.45 12.43 21.19 16.16 
#> 113.1    23  88.2 192.1  42.2  70.1    96  49.1    15  18.1    68 110.1   190 
#> 22.86 16.92 18.37 16.44 12.43  7.38 14.54 12.19 22.68 15.21 20.62 17.56 20.81 
#>   187    78 125.1   177  49.2  88.3    93  29.2  37.1  26.1 158.1 106.1  52.1 
#>  9.92 23.88 15.65 12.53 12.19 18.37 10.33 15.45 12.52 15.77 20.14 16.67 10.42 
#>   146   174   147   160    75    28    22     2   163   122    21    95 122.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138  22.1  22.2     9   135    38   119   162    84    19   161    71   9.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142   137   200   186   141 160.1  75.1    62 141.1    83 147.1   191    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198   132 119.1   182 132.1   116 116.1  95.1   176 161.1   144    27 163.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 119.2 144.1   120  28.1    53  27.1  84.1 122.2 142.1   148   131 163.2    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 142.2 147.2  84.2   173   104 186.1    98   112    46 160.2  38.1 122.3 138.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34   185  19.1 160.3 163.3 191.1 122.4    54    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[12]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                -0.0107363                 0.3272544                -0.1109346 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.519248587             0.006705435             0.249693012 
#>   grade_iii, Cure model 
#>             1.228471224 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 187    9.92      1  39        1         0
#> 50    10.02      1  NA        1         0
#> 79    16.23      1  54        1         0
#> 188   16.16      1  46        0         1
#> 145   10.07      1  65        1         0
#> 164   23.60      1  76        0         1
#> 91     5.33      1  61        0         1
#> 69    23.23      1  25        0         1
#> 190   20.81      1  42        1         0
#> 30    17.43      1  78        0         0
#> 139   21.49      1  63        1         0
#> 40    18.00      1  28        1         0
#> 18    15.21      1  49        1         0
#> 59    10.16      1  NA        1         0
#> 81    14.06      1  34        0         0
#> 192   16.44      1  31        1         0
#> 68    20.62      1  44        0         0
#> 26    15.77      1  49        0         1
#> 125   15.65      1  67        1         0
#> 145.1 10.07      1  65        1         0
#> 167   15.55      1  56        1         0
#> 99    21.19      1  38        0         1
#> 10    10.53      1  34        0         0
#> 37    12.52      1  57        1         0
#> 155   13.08      1  26        0         0
#> 85    16.44      1  36        0         0
#> 32    20.90      1  37        1         0
#> 105   19.75      1  60        0         0
#> 154   12.63      1  20        1         0
#> 81.1  14.06      1  34        0         0
#> 40.1  18.00      1  28        1         0
#> 188.1 16.16      1  46        0         1
#> 18.1  15.21      1  49        1         0
#> 101    9.97      1  10        0         1
#> 194   22.40      1  38        0         1
#> 199   19.81      1  NA        0         1
#> 18.2  15.21      1  49        1         0
#> 91.1   5.33      1  61        0         1
#> 45    17.42      1  54        0         1
#> 181   16.46      1  45        0         1
#> 155.1 13.08      1  26        0         0
#> 168   23.72      1  70        0         0
#> 30.1  17.43      1  78        0         0
#> 89    11.44      1  NA        0         0
#> 66    22.13      1  53        0         0
#> 181.1 16.46      1  45        0         1
#> 24    23.89      1  38        0         0
#> 55    19.34      1  69        0         1
#> 108   18.29      1  39        0         1
#> 36    21.19      1  48        0         1
#> 89.1  11.44      1  NA        0         0
#> 69.1  23.23      1  25        0         1
#> 149    8.37      1  33        1         0
#> 6     15.64      1  39        0         0
#> 91.2   5.33      1  61        0         1
#> 79.1  16.23      1  54        1         0
#> 190.1 20.81      1  42        1         0
#> 45.1  17.42      1  54        0         1
#> 158   20.14      1  74        1         0
#> 5     16.43      1  51        0         1
#> 171   16.57      1  41        0         1
#> 107   11.18      1  54        1         0
#> 133   14.65      1  57        0         0
#> 70     7.38      1  30        1         0
#> 93    10.33      1  52        0         1
#> 58    19.34      1  39        0         0
#> 26.1  15.77      1  49        0         1
#> 18.3  15.21      1  49        1         0
#> 36.1  21.19      1  48        0         1
#> 41    18.02      1  40        1         0
#> 55.1  19.34      1  69        0         1
#> 134   17.81      1  47        1         0
#> 37.1  12.52      1  57        1         0
#> 60    13.15      1  38        1         0
#> 159   10.55      1  50        0         1
#> 187.1  9.92      1  39        1         0
#> 149.1  8.37      1  33        1         0
#> 49    12.19      1  48        1         0
#> 5.1   16.43      1  51        0         1
#> 153   21.33      1  55        1         0
#> 199.1 19.81      1  NA        0         1
#> 187.2  9.92      1  39        1         0
#> 91.3   5.33      1  61        0         1
#> 189   10.51      1  NA        1         0
#> 88    18.37      1  47        0         0
#> 81.2  14.06      1  34        0         0
#> 164.1 23.60      1  76        0         1
#> 127    3.53      1  62        0         1
#> 150   20.33      1  48        0         0
#> 86    23.81      1  58        0         1
#> 129   23.41      1  53        1         0
#> 37.2  12.52      1  57        1         0
#> 111   17.45      1  47        0         1
#> 41.1  18.02      1  40        1         0
#> 129.1 23.41      1  53        1         0
#> 108.1 18.29      1  39        0         1
#> 167.1 15.55      1  56        1         0
#> 157   15.10      1  47        0         0
#> 155.2 13.08      1  26        0         0
#> 56    12.21      1  60        0         0
#> 179   18.63      1  42        0         0
#> 56.1  12.21      1  60        0         0
#> 114   13.68      1  NA        0         0
#> 184   17.77      1  38        0         0
#> 187.3  9.92      1  39        1         0
#> 16     8.71      1  71        0         1
#> 136   21.83      1  43        0         1
#> 49.1  12.19      1  48        1         0
#> 61    10.12      1  36        0         1
#> 164.2 23.60      1  76        0         1
#> 157.1 15.10      1  47        0         0
#> 133.1 14.65      1  57        0         0
#> 94    24.00      0  51        0         1
#> 196   24.00      0  19        0         0
#> 148   24.00      0  61        1         0
#> 109   24.00      0  48        0         0
#> 20    24.00      0  46        1         0
#> 147   24.00      0  76        1         0
#> 185   24.00      0  44        1         0
#> 98    24.00      0  34        1         0
#> 95    24.00      0  68        0         1
#> 178   24.00      0  52        1         0
#> 121   24.00      0  57        1         0
#> 176   24.00      0  43        0         1
#> 64    24.00      0  43        0         0
#> 141   24.00      0  44        1         0
#> 46    24.00      0  71        0         0
#> 83    24.00      0   6        0         0
#> 152   24.00      0  36        0         1
#> 156   24.00      0  50        1         0
#> 82    24.00      0  34        0         0
#> 73    24.00      0  NA        0         1
#> 156.1 24.00      0  50        1         0
#> 98.1  24.00      0  34        1         0
#> 67    24.00      0  25        0         0
#> 44    24.00      0  56        0         0
#> 148.1 24.00      0  61        1         0
#> 116   24.00      0  58        0         1
#> 165   24.00      0  47        0         0
#> 156.2 24.00      0  50        1         0
#> 17    24.00      0  38        0         1
#> 161   24.00      0  45        0         0
#> 98.2  24.00      0  34        1         0
#> 2     24.00      0   9        0         0
#> 102   24.00      0  49        0         0
#> 121.1 24.00      0  57        1         0
#> 65    24.00      0  57        1         0
#> 104   24.00      0  50        1         0
#> 141.1 24.00      0  44        1         0
#> 200   24.00      0  64        0         0
#> 174   24.00      0  49        1         0
#> 165.1 24.00      0  47        0         0
#> 182   24.00      0  35        0         0
#> 1     24.00      0  23        1         0
#> 98.3  24.00      0  34        1         0
#> 87    24.00      0  27        0         0
#> 156.3 24.00      0  50        1         0
#> 35    24.00      0  51        0         0
#> 148.2 24.00      0  61        1         0
#> 83.1  24.00      0   6        0         0
#> 33    24.00      0  53        0         0
#> 103   24.00      0  56        1         0
#> 143   24.00      0  51        0         0
#> 54    24.00      0  53        1         0
#> 198   24.00      0  66        0         1
#> 73.1  24.00      0  NA        0         1
#> 126   24.00      0  48        0         0
#> 143.1 24.00      0  51        0         0
#> 156.4 24.00      0  50        1         0
#> 11    24.00      0  42        0         1
#> 116.1 24.00      0  58        0         1
#> 178.1 24.00      0  52        1         0
#> 22    24.00      0  52        1         0
#> 2.1   24.00      0   9        0         0
#> 54.1  24.00      0  53        1         0
#> 137   24.00      0  45        1         0
#> 102.1 24.00      0  49        0         0
#> 115   24.00      0  NA        1         0
#> 1.1   24.00      0  23        1         0
#> 165.2 24.00      0  47        0         0
#> 176.1 24.00      0  43        0         1
#> 132   24.00      0  55        0         0
#> 95.1  24.00      0  68        0         1
#> 156.5 24.00      0  50        1         0
#> 119   24.00      0  17        0         0
#> 200.1 24.00      0  64        0         0
#> 74    24.00      0  43        0         1
#> 119.1 24.00      0  17        0         0
#> 44.1  24.00      0  56        0         0
#> 11.1  24.00      0  42        0         1
#> 146   24.00      0  63        1         0
#> 121.2 24.00      0  57        1         0
#> 137.1 24.00      0  45        1         0
#> 141.2 24.00      0  44        1         0
#> 82.1  24.00      0  34        0         0
#> 156.6 24.00      0  50        1         0
#> 64.1  24.00      0  43        0         0
#> 137.2 24.00      0  45        1         0
#> 161.1 24.00      0  45        0         0
#> 21    24.00      0  47        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.519          NA        NA      NA
#> 2 age, Cure model          0.00671        NA        NA      NA
#> 3 grade_ii, Cure model     0.250          NA        NA      NA
#> 4 grade_iii, Cure model    1.23           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0107        NA        NA      NA
#> 2 grade_ii, Survival model    0.327         NA        NA      NA
#> 3 grade_iii, Survival model  -0.111         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.519249          0.006705          0.249693          1.228471  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.1 
#> Residual Deviance: 248.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.519248587      0.006705435      0.249693012      1.228471224 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       -0.0107363        0.3272544       -0.1109346 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.8232176098 0.3328810464 0.3534720640 0.7830791088 0.0040726447
#>   [6] 0.9306086848 0.0187524737 0.0751682610 0.2273041924 0.0411020924
#>  [11] 0.1850601686 0.4411193714 0.5325788323 0.2928777929 0.0873595209
#>  [16] 0.3746224201 0.3963509090 0.7830791088 0.4186909119 0.0519471875
#>  [21] 0.7434648553 0.6296671643 0.5807363804 0.2928777929 0.0689283346
#>  [26] 0.1074091117 0.6172703918 0.5325788323 0.1850601686 0.3534720640
#>  [31] 0.4411193714 0.8097344985 0.0265641281 0.4411193714 0.9306086848
#>  [36] 0.2452095437 0.2733988828 0.5807363804 0.0021941241 0.2273041924
#>  [41] 0.0311038105 0.2733988828 0.0002036727 0.1144827585 0.1522144905
#>  [46] 0.0519471875 0.0187524737 0.8897994651 0.4074685276 0.9306086848
#>  [51] 0.3328810464 0.0751682610 0.2452095437 0.1005500707 0.3125706858
#>  [56] 0.2637919939 0.7175141773 0.5088587992 0.9169383670 0.7565653652
#>  [61] 0.1144827585 0.3746224201 0.4411193714 0.0519471875 0.1685590347
#>  [66] 0.1144827585 0.2015226747 0.6296671643 0.5684857349 0.7304345689
#>  [71] 0.8232176098 0.8897994651 0.6920076243 0.3125706858 0.0464511231
#>  [76] 0.8232176098 0.9306086848 0.1441759671 0.5325788323 0.0040726447
#>  [81] 0.9857944094 0.0938614462 0.0009162512 0.0118715147 0.6296671643
#>  [86] 0.2185666014 0.1685590347 0.0118715147 0.1522144905 0.4186909119
#>  [91] 0.4856343897 0.5807363804 0.6666613403 0.1363112677 0.6666613403
#>  [96] 0.2099866938 0.8232176098 0.8761361758 0.0359512534 0.6920076243
#> [101] 0.7697774975 0.0040726447 0.4856343897 0.5088587992 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>   187    79   188   145   164    91    69   190    30   139    40    18    81 
#>  9.92 16.23 16.16 10.07 23.60  5.33 23.23 20.81 17.43 21.49 18.00 15.21 14.06 
#>   192    68    26   125 145.1   167    99    10    37   155    85    32   105 
#> 16.44 20.62 15.77 15.65 10.07 15.55 21.19 10.53 12.52 13.08 16.44 20.90 19.75 
#>   154  81.1  40.1 188.1  18.1   101   194  18.2  91.1    45   181 155.1   168 
#> 12.63 14.06 18.00 16.16 15.21  9.97 22.40 15.21  5.33 17.42 16.46 13.08 23.72 
#>  30.1    66 181.1    24    55   108    36  69.1   149     6  91.2  79.1 190.1 
#> 17.43 22.13 16.46 23.89 19.34 18.29 21.19 23.23  8.37 15.64  5.33 16.23 20.81 
#>  45.1   158     5   171   107   133    70    93    58  26.1  18.3  36.1    41 
#> 17.42 20.14 16.43 16.57 11.18 14.65  7.38 10.33 19.34 15.77 15.21 21.19 18.02 
#>  55.1   134  37.1    60   159 187.1 149.1    49   5.1   153 187.2  91.3    88 
#> 19.34 17.81 12.52 13.15 10.55  9.92  8.37 12.19 16.43 21.33  9.92  5.33 18.37 
#>  81.2 164.1   127   150    86   129  37.2   111  41.1 129.1 108.1 167.1   157 
#> 14.06 23.60  3.53 20.33 23.81 23.41 12.52 17.45 18.02 23.41 18.29 15.55 15.10 
#> 155.2    56   179  56.1   184 187.3    16   136  49.1    61 164.2 157.1 133.1 
#> 13.08 12.21 18.63 12.21 17.77  9.92  8.71 21.83 12.19 10.12 23.60 15.10 14.65 
#>    94   196   148   109    20   147   185    98    95   178   121   176    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141    46    83   152   156    82 156.1  98.1    67    44 148.1   116   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 156.2    17   161  98.2     2   102 121.1    65   104 141.1   200   174 165.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182     1  98.3    87 156.3    35 148.2  83.1    33   103   143    54   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126 143.1 156.4    11 116.1 178.1    22   2.1  54.1   137 102.1   1.1 165.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 176.1   132  95.1 156.5   119 200.1    74 119.1  44.1  11.1   146 121.2 137.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 141.2  82.1 156.6  64.1 137.2 161.1    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[13]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.00611739               -0.09163203                0.26613394 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.83710370              0.01586879              0.14720833 
#>   grade_iii, Cure model 
#>              0.77962766 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 111   17.45      1  47        0         1
#> 114   13.68      1  NA        0         0
#> 40    18.00      1  28        1         0
#> 153   21.33      1  55        1         0
#> 190   20.81      1  42        1         0
#> 43    12.10      1  61        0         1
#> 77     7.27      1  67        0         1
#> 45    17.42      1  54        0         1
#> 170   19.54      1  43        0         1
#> 63    22.77      1  31        1         0
#> 10    10.53      1  34        0         0
#> 197   21.60      1  69        1         0
#> 93    10.33      1  52        0         1
#> 133   14.65      1  57        0         0
#> 195   11.76      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 133.1 14.65      1  57        0         0
#> 105   19.75      1  60        0         0
#> 124    9.73      1  NA        1         0
#> 158   20.14      1  74        1         0
#> 158.1 20.14      1  74        1         0
#> 150   20.33      1  48        0         0
#> 93.1  10.33      1  52        0         1
#> 106   16.67      1  49        1         0
#> 51    18.23      1  83        0         1
#> 125   15.65      1  67        1         0
#> 15    22.68      1  48        0         0
#> 32    20.90      1  37        1         0
#> 110   17.56      1  65        0         1
#> 23    16.92      1  61        0         0
#> 6     15.64      1  39        0         0
#> 175   21.91      1  43        0         0
#> 32.1  20.90      1  37        1         0
#> 190.1 20.81      1  42        1         0
#> 157   15.10      1  47        0         0
#> 199   19.81      1  NA        0         1
#> 69    23.23      1  25        0         1
#> 194   22.40      1  38        0         1
#> 169   22.41      1  46        0         0
#> 113   22.86      1  34        0         0
#> 81    14.06      1  34        0         0
#> 86    23.81      1  58        0         1
#> 158.2 20.14      1  74        1         0
#> 91     5.33      1  61        0         1
#> 170.1 19.54      1  43        0         1
#> 129   23.41      1  53        1         0
#> 153.1 21.33      1  55        1         0
#> 125.1 15.65      1  67        1         0
#> 145   10.07      1  65        1         0
#> 30.1  17.43      1  78        0         0
#> 169.1 22.41      1  46        0         0
#> 159   10.55      1  50        0         1
#> 97    19.14      1  65        0         1
#> 106.1 16.67      1  49        1         0
#> 59    10.16      1  NA        1         0
#> 90    20.94      1  50        0         1
#> 100   16.07      1  60        0         0
#> 59.1  10.16      1  NA        1         0
#> 155   13.08      1  26        0         0
#> 18    15.21      1  49        1         0
#> 153.2 21.33      1  55        1         0
#> 66    22.13      1  53        0         0
#> 100.1 16.07      1  60        0         0
#> 177   12.53      1  75        0         0
#> 133.2 14.65      1  57        0         0
#> 170.2 19.54      1  43        0         1
#> 6.1   15.64      1  39        0         0
#> 158.3 20.14      1  74        1         0
#> 60    13.15      1  38        1         0
#> 157.1 15.10      1  47        0         0
#> 36    21.19      1  48        0         1
#> 81.1  14.06      1  34        0         0
#> 91.1   5.33      1  61        0         1
#> 23.1  16.92      1  61        0         0
#> 164   23.60      1  76        0         1
#> 128   20.35      1  35        0         1
#> 107   11.18      1  54        1         0
#> 177.1 12.53      1  75        0         0
#> 50    10.02      1  NA        1         0
#> 155.1 13.08      1  26        0         0
#> 127    3.53      1  62        0         1
#> 100.2 16.07      1  60        0         0
#> 140   12.68      1  59        1         0
#> 93.2  10.33      1  52        0         1
#> 85    16.44      1  36        0         0
#> 61    10.12      1  36        0         1
#> 81.2  14.06      1  34        0         0
#> 199.1 19.81      1  NA        0         1
#> 130   16.47      1  53        0         1
#> 78    23.88      1  43        0         0
#> 197.1 21.60      1  69        1         0
#> 16     8.71      1  71        0         1
#> 154   12.63      1  20        1         0
#> 85.1  16.44      1  36        0         0
#> 63.1  22.77      1  31        1         0
#> 129.1 23.41      1  53        1         0
#> 25     6.32      1  34        1         0
#> 66.1  22.13      1  53        0         0
#> 189   10.51      1  NA        1         0
#> 169.2 22.41      1  46        0         0
#> 81.3  14.06      1  34        0         0
#> 93.3  10.33      1  52        0         1
#> 13    14.34      1  54        0         1
#> 29    15.45      1  68        1         0
#> 139   21.49      1  63        1         0
#> 63.2  22.77      1  31        1         0
#> 93.4  10.33      1  52        0         1
#> 195.1 11.76      1  NA        1         0
#> 26    15.77      1  49        0         1
#> 78.1  23.88      1  43        0         0
#> 187    9.92      1  39        1         0
#> 61.1  10.12      1  36        0         1
#> 198   24.00      0  66        0         1
#> 146   24.00      0  63        1         0
#> 64    24.00      0  43        0         0
#> 121   24.00      0  57        1         0
#> 64.1  24.00      0  43        0         0
#> 62    24.00      0  71        0         0
#> 137   24.00      0  45        1         0
#> 109   24.00      0  48        0         0
#> 193   24.00      0  45        0         1
#> 46    24.00      0  71        0         0
#> 122   24.00      0  66        0         0
#> 74    24.00      0  43        0         1
#> 17    24.00      0  38        0         1
#> 112   24.00      0  61        0         0
#> 46.1  24.00      0  71        0         0
#> 135   24.00      0  58        1         0
#> 87    24.00      0  27        0         0
#> 182   24.00      0  35        0         0
#> 135.1 24.00      0  58        1         0
#> 2     24.00      0   9        0         0
#> 200   24.00      0  64        0         0
#> 156   24.00      0  50        1         0
#> 7     24.00      0  37        1         0
#> 141   24.00      0  44        1         0
#> 161   24.00      0  45        0         0
#> 33    24.00      0  53        0         0
#> 31    24.00      0  36        0         1
#> 115   24.00      0  NA        1         0
#> 102   24.00      0  49        0         0
#> 83    24.00      0   6        0         0
#> 21    24.00      0  47        0         0
#> 137.1 24.00      0  45        1         0
#> 48    24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 22    24.00      0  52        1         0
#> 142   24.00      0  53        0         0
#> 103   24.00      0  56        1         0
#> 82    24.00      0  34        0         0
#> 67    24.00      0  25        0         0
#> 138   24.00      0  44        1         0
#> 103.1 24.00      0  56        1         0
#> 147   24.00      0  76        1         0
#> 198.1 24.00      0  66        0         1
#> 126   24.00      0  48        0         0
#> 17.1  24.00      0  38        0         1
#> 131   24.00      0  66        0         0
#> 102.1 24.00      0  49        0         0
#> 73    24.00      0  NA        0         1
#> 163   24.00      0  66        0         0
#> 19    24.00      0  57        0         1
#> 115.1 24.00      0  NA        1         0
#> 62.1  24.00      0  71        0         0
#> 200.1 24.00      0  64        0         0
#> 182.1 24.00      0  35        0         0
#> 132   24.00      0  55        0         0
#> 121.1 24.00      0  57        1         0
#> 160   24.00      0  31        1         0
#> 11    24.00      0  42        0         1
#> 137.2 24.00      0  45        1         0
#> 31.1  24.00      0  36        0         1
#> 48.1  24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 82.1  24.00      0  34        0         0
#> 20    24.00      0  46        1         0
#> 198.2 24.00      0  66        0         1
#> 160.1 24.00      0  31        1         0
#> 31.2  24.00      0  36        0         1
#> 165   24.00      0  47        0         0
#> 198.3 24.00      0  66        0         1
#> 38    24.00      0  31        1         0
#> 121.2 24.00      0  57        1         0
#> 178   24.00      0  52        1         0
#> 141.1 24.00      0  44        1         0
#> 102.2 24.00      0  49        0         0
#> 87.1  24.00      0  27        0         0
#> 131.1 24.00      0  66        0         0
#> 126.1 24.00      0  48        0         0
#> 146.1 24.00      0  63        1         0
#> 1     24.00      0  23        1         0
#> 196   24.00      0  19        0         0
#> 54    24.00      0  53        1         0
#> 151   24.00      0  42        0         0
#> 102.3 24.00      0  49        0         0
#> 9     24.00      0  31        1         0
#> 165.1 24.00      0  47        0         0
#> 95    24.00      0  68        0         1
#> 67.1  24.00      0  25        0         0
#> 84    24.00      0  39        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.837         NA        NA      NA
#> 2 age, Cure model           0.0159        NA        NA      NA
#> 3 grade_ii, Cure model      0.147         NA        NA      NA
#> 4 grade_iii, Cure model     0.780         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00612        NA        NA      NA
#> 2 grade_ii, Survival model  -0.0916         NA        NA      NA
#> 3 grade_iii, Survival model  0.266          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.83710           0.01587           0.14721           0.77963  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.7 
#> Residual Deviance: 250.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.83710370       0.01586879       0.14720833       0.77962766 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.00611739      -0.09163203       0.26613394 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.57208874 0.55439572 0.34738452 0.42112903 0.86850839 0.96636484
#>   [7] 0.59769935 0.50911326 0.17740633 0.89029908 0.31365359 0.89751304
#>  [13] 0.75711301 0.58077126 0.75711301 0.49949331 0.46179835 0.46179835
#>  [19] 0.45170220 0.89751304 0.62265620 0.54547189 0.69507097 0.21632922
#>  [25] 0.40055067 0.56330767 0.60612616 0.71070171 0.30188721 0.40055067
#>  [31] 0.42112903 0.74177996 0.14831284 0.26621473 0.22987480 0.16300910
#>  [37] 0.78725740 0.08158572 0.46179835 0.97995718 0.50911326 0.11894456
#>  [43] 0.34738452 0.69507097 0.94572021 0.58077126 0.22987480 0.88307159
#>  [49] 0.53637419 0.62265620 0.39004711 0.66343057 0.82422067 0.73401969
#>  [55] 0.34738452 0.27854489 0.66343057 0.85388062 0.75711301 0.50911326
#>  [61] 0.71070171 0.46179835 0.81675466 0.74177996 0.37932064 0.78725740
#>  [67] 0.97995718 0.60612616 0.10207890 0.44152845 0.87579815 0.85388062
#>  [73] 0.82422067 0.99333118 0.66343057 0.83903900 0.89751304 0.64726826
#>  [79] 0.93192778 0.78725740 0.63908537 0.03782420 0.31365359 0.95951921
#>  [85] 0.84646082 0.64726826 0.17740633 0.11894456 0.97316394 0.27854489
#>  [91] 0.22987480 0.78725740 0.89751304 0.77971087 0.72624040 0.33609885
#>  [97] 0.17740633 0.89751304 0.68714399 0.03782420 0.95262366 0.93192778
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>   111    40   153   190    43    77    45   170    63    10   197    93   133 
#> 17.45 18.00 21.33 20.81 12.10  7.27 17.42 19.54 22.77 10.53 21.60 10.33 14.65 
#>    30 133.1   105   158 158.1   150  93.1   106    51   125    15    32   110 
#> 17.43 14.65 19.75 20.14 20.14 20.33 10.33 16.67 18.23 15.65 22.68 20.90 17.56 
#>    23     6   175  32.1 190.1   157    69   194   169   113    81    86 158.2 
#> 16.92 15.64 21.91 20.90 20.81 15.10 23.23 22.40 22.41 22.86 14.06 23.81 20.14 
#>    91 170.1   129 153.1 125.1   145  30.1 169.1   159    97 106.1    90   100 
#>  5.33 19.54 23.41 21.33 15.65 10.07 17.43 22.41 10.55 19.14 16.67 20.94 16.07 
#>   155    18 153.2    66 100.1   177 133.2 170.2   6.1 158.3    60 157.1    36 
#> 13.08 15.21 21.33 22.13 16.07 12.53 14.65 19.54 15.64 20.14 13.15 15.10 21.19 
#>  81.1  91.1  23.1   164   128   107 177.1 155.1   127 100.2   140  93.2    85 
#> 14.06  5.33 16.92 23.60 20.35 11.18 12.53 13.08  3.53 16.07 12.68 10.33 16.44 
#>    61  81.2   130    78 197.1    16   154  85.1  63.1 129.1    25  66.1 169.2 
#> 10.12 14.06 16.47 23.88 21.60  8.71 12.63 16.44 22.77 23.41  6.32 22.13 22.41 
#>  81.3  93.3    13    29   139  63.2  93.4    26  78.1   187  61.1   198   146 
#> 14.06 10.33 14.34 15.45 21.49 22.77 10.33 15.77 23.88  9.92 10.12 24.00 24.00 
#>    64   121  64.1    62   137   109   193    46   122    74    17   112  46.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135    87   182 135.1     2   200   156     7   141   161    33    31   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83    21 137.1    48    80    22   142   103    82    67   138 103.1   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 198.1   126  17.1   131 102.1   163    19  62.1 200.1 182.1   132 121.1   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    11 137.2  31.1  48.1   104  82.1    20 198.2 160.1  31.2   165 198.3    38 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 121.2   178 141.1 102.2  87.1 131.1 126.1 146.1     1   196    54   151 102.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9 165.1    95  67.1    84 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[14]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              0.0005189823              0.1953977647              0.3916804911 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.90773959              0.02139442             -0.07751832 
#>   grade_iii, Cure model 
#>              0.39039195 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 153   21.33      1  55        1         0
#> 88    18.37      1  47        0         0
#> 97    19.14      1  65        0         1
#> 8     18.43      1  32        0         0
#> 55    19.34      1  69        0         1
#> 179   18.63      1  42        0         0
#> 52    10.42      1  52        0         1
#> 18    15.21      1  49        1         0
#> 133   14.65      1  57        0         0
#> 177   12.53      1  75        0         0
#> 107   11.18      1  54        1         0
#> 70     7.38      1  30        1         0
#> 107.1 11.18      1  54        1         0
#> 40    18.00      1  28        1         0
#> 101    9.97      1  10        0         1
#> 90    20.94      1  50        0         1
#> 154   12.63      1  20        1         0
#> 188   16.16      1  46        0         1
#> 70.1   7.38      1  30        1         0
#> 167   15.55      1  56        1         0
#> 50    10.02      1  NA        1         0
#> 124    9.73      1  NA        1         0
#> 101.1  9.97      1  10        0         1
#> 66    22.13      1  53        0         0
#> 175   21.91      1  43        0         0
#> 90.1  20.94      1  50        0         1
#> 30    17.43      1  78        0         0
#> 124.1  9.73      1  NA        1         0
#> 97.1  19.14      1  65        0         1
#> 10    10.53      1  34        0         0
#> 177.1 12.53      1  75        0         0
#> 63    22.77      1  31        1         0
#> 23    16.92      1  61        0         0
#> 158   20.14      1  74        1         0
#> 61    10.12      1  36        0         1
#> 92    22.92      1  47        0         1
#> 108   18.29      1  39        0         1
#> 190   20.81      1  42        1         0
#> 150   20.33      1  48        0         0
#> 192   16.44      1  31        1         0
#> 40.1  18.00      1  28        1         0
#> 93    10.33      1  52        0         1
#> 29    15.45      1  68        1         0
#> 169   22.41      1  46        0         0
#> 194   22.40      1  38        0         1
#> 88.1  18.37      1  47        0         0
#> 50.1  10.02      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 92.1  22.92      1  47        0         1
#> 101.2  9.97      1  10        0         1
#> 52.1  10.42      1  52        0         1
#> 24    23.89      1  38        0         0
#> 37    12.52      1  57        1         0
#> 101.3  9.97      1  10        0         1
#> 189   10.51      1  NA        1         0
#> 110   17.56      1  65        0         1
#> 81    14.06      1  34        0         0
#> 123   13.00      1  44        1         0
#> 92.2  22.92      1  47        0         1
#> 91     5.33      1  61        0         1
#> 157   15.10      1  47        0         0
#> 39    15.59      1  37        0         1
#> 49    12.19      1  48        1         0
#> 43    12.10      1  61        0         1
#> 192.1 16.44      1  31        1         0
#> 49.1  12.19      1  48        1         0
#> 51    18.23      1  83        0         1
#> 117   17.46      1  26        0         1
#> 136   21.83      1  43        0         1
#> 97.2  19.14      1  65        0         1
#> 199   19.81      1  NA        0         1
#> 189.1 10.51      1  NA        1         0
#> 177.2 12.53      1  75        0         0
#> 169.1 22.41      1  46        0         0
#> 39.1  15.59      1  37        0         1
#> 39.2  15.59      1  37        0         1
#> 88.2  18.37      1  47        0         0
#> 189.2 10.51      1  NA        1         0
#> 56    12.21      1  60        0         0
#> 77     7.27      1  67        0         1
#> 153.1 21.33      1  55        1         0
#> 26    15.77      1  49        0         1
#> 78    23.88      1  43        0         0
#> 52.2  10.42      1  52        0         1
#> 36    21.19      1  48        0         1
#> 125   15.65      1  67        1         0
#> 88.3  18.37      1  47        0         0
#> 57    14.46      1  45        0         1
#> 63.1  22.77      1  31        1         0
#> 10.1  10.53      1  34        0         0
#> 154.1 12.63      1  20        1         0
#> 91.1   5.33      1  61        0         1
#> 101.4  9.97      1  10        0         1
#> 170   19.54      1  43        0         1
#> 184   17.77      1  38        0         0
#> 93.1  10.33      1  52        0         1
#> 15    22.68      1  48        0         0
#> 91.2   5.33      1  61        0         1
#> 129   23.41      1  53        1         0
#> 183    9.24      1  67        1         0
#> 30.1  17.43      1  78        0         0
#> 97.3  19.14      1  65        0         1
#> 129.1 23.41      1  53        1         0
#> 187    9.92      1  39        1         0
#> 100.1 16.07      1  60        0         0
#> 77.1   7.27      1  67        0         1
#> 106   16.67      1  49        1         0
#> 184.1 17.77      1  38        0         0
#> 52.3  10.42      1  52        0         1
#> 139   21.49      1  63        1         0
#> 37.1  12.52      1  57        1         0
#> 63.2  22.77      1  31        1         0
#> 160   24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 151   24.00      0  42        0         0
#> 11    24.00      0  42        0         1
#> 72    24.00      0  40        0         1
#> 27    24.00      0  63        1         0
#> 33    24.00      0  53        0         0
#> 178   24.00      0  52        1         0
#> 151.1 24.00      0  42        0         0
#> 121   24.00      0  57        1         0
#> 27.1  24.00      0  63        1         0
#> 116   24.00      0  58        0         1
#> 47    24.00      0  38        0         1
#> 2     24.00      0   9        0         0
#> 53    24.00      0  32        0         1
#> 161   24.00      0  45        0         0
#> 185   24.00      0  44        1         0
#> 173   24.00      0  19        0         1
#> 148   24.00      0  61        1         0
#> 80    24.00      0  41        0         0
#> 141   24.00      0  44        1         0
#> 80.1  24.00      0  41        0         0
#> 176   24.00      0  43        0         1
#> 161.1 24.00      0  45        0         0
#> 67    24.00      0  25        0         0
#> 7     24.00      0  37        1         0
#> 94    24.00      0  51        0         1
#> 31    24.00      0  36        0         1
#> 73    24.00      0  NA        0         1
#> 87    24.00      0  27        0         0
#> 80.2  24.00      0  41        0         0
#> 152   24.00      0  36        0         1
#> 1     24.00      0  23        1         0
#> 173.1 24.00      0  19        0         1
#> 47.1  24.00      0  38        0         1
#> 98    24.00      0  34        1         0
#> 95    24.00      0  68        0         1
#> 151.2 24.00      0  42        0         0
#> 104   24.00      0  50        1         0
#> 165   24.00      0  47        0         0
#> 148.1 24.00      0  61        1         0
#> 176.1 24.00      0  43        0         1
#> 185.1 24.00      0  44        1         0
#> 200   24.00      0  64        0         0
#> 122   24.00      0  66        0         0
#> 19    24.00      0  57        0         1
#> 11.1  24.00      0  42        0         1
#> 193.1 24.00      0  45        0         1
#> 121.1 24.00      0  57        1         0
#> 95.1  24.00      0  68        0         1
#> 9     24.00      0  31        1         0
#> 31.1  24.00      0  36        0         1
#> 98.1  24.00      0  34        1         0
#> 137   24.00      0  45        1         0
#> 121.2 24.00      0  57        1         0
#> 142   24.00      0  53        0         0
#> 104.1 24.00      0  50        1         0
#> 1.1   24.00      0  23        1         0
#> 142.1 24.00      0  53        0         0
#> 35    24.00      0  51        0         0
#> 35.1  24.00      0  51        0         0
#> 162   24.00      0  51        0         0
#> 19.1  24.00      0  57        0         1
#> 196   24.00      0  19        0         0
#> 62    24.00      0  71        0         0
#> 104.2 24.00      0  50        1         0
#> 3     24.00      0  31        1         0
#> 74    24.00      0  43        0         1
#> 7.1   24.00      0  37        1         0
#> 19.2  24.00      0  57        0         1
#> 3.1   24.00      0  31        1         0
#> 98.2  24.00      0  34        1         0
#> 173.2 24.00      0  19        0         1
#> 3.2   24.00      0  31        1         0
#> 121.3 24.00      0  57        1         0
#> 173.3 24.00      0  19        0         1
#> 27.2  24.00      0  63        1         0
#> 102   24.00      0  49        0         0
#> 191   24.00      0  60        0         1
#> 75    24.00      0  21        1         0
#> 172   24.00      0  41        0         0
#> 80.3  24.00      0  41        0         0
#> 119   24.00      0  17        0         0
#> 118   24.00      0  44        1         0
#> 118.1 24.00      0  44        1         0
#> 109   24.00      0  48        0         0
#> 160.1 24.00      0  31        1         0
#> 47.2  24.00      0  38        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.908         NA        NA      NA
#> 2 age, Cure model           0.0214        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0775        NA        NA      NA
#> 4 grade_iii, Cure model     0.390         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.000519        NA        NA      NA
#> 2 grade_ii, Survival model  0.195           NA        NA      NA
#> 3 grade_iii, Survival model 0.392           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.90774           0.02139          -0.07752           0.39039  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 256.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.90773959       0.02139442      -0.07751832       0.39039195 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     0.0005189823     0.1953977647     0.3916804911 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.26011757 0.42075192 0.36529136 0.41129532 0.35523756 0.40183508
#>   [7] 0.84051685 0.66844964 0.68523124 0.73502992 0.80838571 0.94787215
#>  [13] 0.80838571 0.47577031 0.89511817 0.29302180 0.71859418 0.58300483
#>  [19] 0.94787215 0.65158529 0.89511817 0.21326565 0.22517242 0.29302180
#>  [25] 0.52991069 0.36529136 0.82445406 0.73502992 0.13060561 0.54764264
#>  [31] 0.33466460 0.88731951 0.09389194 0.45724580 0.31375549 0.32421428
#>  [37] 0.56547583 0.47577031 0.87172148 0.66003144 0.17750046 0.20134050
#>  [43] 0.42075192 0.59176783 0.09389194 0.89511817 0.84051685 0.01389775
#>  [49] 0.75951285 0.89511817 0.51192542 0.70195228 0.71028511 0.09389194
#>  [55] 0.97791407 0.67684172 0.62649309 0.78403644 0.80027063 0.56547583
#>  [61] 0.78403644 0.46655812 0.52095682 0.23706514 0.36529136 0.73502992
#>  [67] 0.17750046 0.62649309 0.62649309 0.42075192 0.77583482 0.96295541
#>  [73] 0.26011757 0.60914794 0.03704743 0.84051685 0.28205557 0.61783627
#>  [79] 0.42075192 0.69361768 0.13060561 0.82445406 0.71859418 0.97791407
#>  [85] 0.89511817 0.34502970 0.49385441 0.87172148 0.16511181 0.97791407
#>  [91] 0.06044892 0.94027176 0.52991069 0.36529136 0.06044892 0.93265544
#>  [97] 0.59176783 0.96295541 0.55657689 0.49385441 0.84051685 0.24865973
#> [103] 0.75951285 0.13060561 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   153    88    97     8    55   179    52    18   133   177   107    70 107.1 
#> 21.33 18.37 19.14 18.43 19.34 18.63 10.42 15.21 14.65 12.53 11.18  7.38 11.18 
#>    40   101    90   154   188  70.1   167 101.1    66   175  90.1    30  97.1 
#> 18.00  9.97 20.94 12.63 16.16  7.38 15.55  9.97 22.13 21.91 20.94 17.43 19.14 
#>    10 177.1    63    23   158    61    92   108   190   150   192  40.1    93 
#> 10.53 12.53 22.77 16.92 20.14 10.12 22.92 18.29 20.81 20.33 16.44 18.00 10.33 
#>    29   169   194  88.1   100  92.1 101.2  52.1    24    37 101.3   110    81 
#> 15.45 22.41 22.40 18.37 16.07 22.92  9.97 10.42 23.89 12.52  9.97 17.56 14.06 
#>   123  92.2    91   157    39    49    43 192.1  49.1    51   117   136  97.2 
#> 13.00 22.92  5.33 15.10 15.59 12.19 12.10 16.44 12.19 18.23 17.46 21.83 19.14 
#> 177.2 169.1  39.1  39.2  88.2    56    77 153.1    26    78  52.2    36   125 
#> 12.53 22.41 15.59 15.59 18.37 12.21  7.27 21.33 15.77 23.88 10.42 21.19 15.65 
#>  88.3    57  63.1  10.1 154.1  91.1 101.4   170   184  93.1    15  91.2   129 
#> 18.37 14.46 22.77 10.53 12.63  5.33  9.97 19.54 17.77 10.33 22.68  5.33 23.41 
#>   183  30.1  97.3 129.1   187 100.1  77.1   106 184.1  52.3   139  37.1  63.2 
#>  9.24 17.43 19.14 23.41  9.92 16.07  7.27 16.67 17.77 10.42 21.49 12.52 22.77 
#>   160   193   151    11    72    27    33   178 151.1   121  27.1   116    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2    53   161   185   173   148    80   141  80.1   176 161.1    67     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94    31    87  80.2   152     1 173.1  47.1    98    95 151.2   104   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 148.1 176.1 185.1   200   122    19  11.1 193.1 121.1  95.1     9  31.1  98.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137 121.2   142 104.1   1.1 142.1    35  35.1   162  19.1   196    62 104.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3    74   7.1  19.2   3.1  98.2 173.2   3.2 121.3 173.3  27.2   102   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75   172  80.3   119   118 118.1   109 160.1  47.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[15]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                -0.0173782                 0.7353625                 0.4458821 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.598406348             0.008776202             0.224268444 
#>   grade_iii, Cure model 
#>             0.697393616 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 125   15.65      1  67        1         0
#> 164   23.60      1  76        0         1
#> 183    9.24      1  67        1         0
#> 13    14.34      1  54        0         1
#> 192   16.44      1  31        1         0
#> 170   19.54      1  43        0         1
#> 29    15.45      1  68        1         0
#> 101    9.97      1  10        0         1
#> 177   12.53      1  75        0         0
#> 171   16.57      1  41        0         1
#> 111   17.45      1  47        0         1
#> 108   18.29      1  39        0         1
#> 42    12.43      1  49        0         1
#> 8     18.43      1  32        0         0
#> 93    10.33      1  52        0         1
#> 93.1  10.33      1  52        0         1
#> 164.1 23.60      1  76        0         1
#> 164.2 23.60      1  76        0         1
#> 101.1  9.97      1  10        0         1
#> 81    14.06      1  34        0         0
#> 13.1  14.34      1  54        0         1
#> 59    10.16      1  NA        1         0
#> 190   20.81      1  42        1         0
#> 41    18.02      1  40        1         0
#> 50    10.02      1  NA        1         0
#> 106   16.67      1  49        1         0
#> 4     17.64      1  NA        0         1
#> 70     7.38      1  30        1         0
#> 100   16.07      1  60        0         0
#> 150   20.33      1  48        0         0
#> 180   14.82      1  37        0         0
#> 183.1  9.24      1  67        1         0
#> 96    14.54      1  33        0         1
#> 127    3.53      1  62        0         1
#> 8.1   18.43      1  32        0         0
#> 145   10.07      1  65        1         0
#> 125.1 15.65      1  67        1         0
#> 50.1  10.02      1  NA        1         0
#> 108.1 18.29      1  39        0         1
#> 110   17.56      1  65        0         1
#> 68    20.62      1  44        0         0
#> 158   20.14      1  74        1         0
#> 99    21.19      1  38        0         1
#> 91     5.33      1  61        0         1
#> 130   16.47      1  53        0         1
#> 189   10.51      1  NA        1         0
#> 18    15.21      1  49        1         0
#> 145.1 10.07      1  65        1         0
#> 154   12.63      1  20        1         0
#> 149    8.37      1  33        1         0
#> 125.2 15.65      1  67        1         0
#> 167   15.55      1  56        1         0
#> 189.1 10.51      1  NA        1         0
#> 68.1  20.62      1  44        0         0
#> 89    11.44      1  NA        0         0
#> 130.1 16.47      1  53        0         1
#> 10    10.53      1  34        0         0
#> 93.2  10.33      1  52        0         1
#> 25     6.32      1  34        1         0
#> 154.1 12.63      1  20        1         0
#> 76    19.22      1  54        0         1
#> 40    18.00      1  28        1         0
#> 81.1  14.06      1  34        0         0
#> 157   15.10      1  47        0         0
#> 107   11.18      1  54        1         0
#> 184   17.77      1  38        0         0
#> 189.2 10.51      1  NA        1         0
#> 60    13.15      1  38        1         0
#> 181   16.46      1  45        0         1
#> 113   22.86      1  34        0         0
#> 14    12.89      1  21        0         0
#> 77     7.27      1  67        0         1
#> 30    17.43      1  78        0         0
#> 40.1  18.00      1  28        1         0
#> 133   14.65      1  57        0         0
#> 167.1 15.55      1  56        1         0
#> 6     15.64      1  39        0         0
#> 159   10.55      1  50        0         1
#> 136   21.83      1  43        0         1
#> 124    9.73      1  NA        1         0
#> 10.1  10.53      1  34        0         0
#> 108.2 18.29      1  39        0         1
#> 149.1  8.37      1  33        1         0
#> 157.1 15.10      1  47        0         0
#> 158.1 20.14      1  74        1         0
#> 49    12.19      1  48        1         0
#> 171.1 16.57      1  41        0         1
#> 60.1  13.15      1  38        1         0
#> 199   19.81      1  NA        0         1
#> 61    10.12      1  36        0         1
#> 79    16.23      1  54        1         0
#> 167.2 15.55      1  56        1         0
#> 60.2  13.15      1  38        1         0
#> 199.1 19.81      1  NA        0         1
#> 113.1 22.86      1  34        0         0
#> 189.3 10.51      1  NA        1         0
#> 93.3  10.33      1  52        0         1
#> 113.2 22.86      1  34        0         0
#> 139   21.49      1  63        1         0
#> 153   21.33      1  55        1         0
#> 107.1 11.18      1  54        1         0
#> 29.1  15.45      1  68        1         0
#> 41.1  18.02      1  40        1         0
#> 81.2  14.06      1  34        0         0
#> 52    10.42      1  52        0         1
#> 168   23.72      1  70        0         0
#> 76.1  19.22      1  54        0         1
#> 18.1  15.21      1  49        1         0
#> 4.1   17.64      1  NA        0         1
#> 91.1   5.33      1  61        0         1
#> 117   17.46      1  26        0         1
#> 127.1  3.53      1  62        0         1
#> 160   24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 193   24.00      0  45        0         1
#> 19    24.00      0  57        0         1
#> 28    24.00      0  67        1         0
#> 186   24.00      0  45        1         0
#> 156   24.00      0  50        1         0
#> 67    24.00      0  25        0         0
#> 112   24.00      0  61        0         0
#> 148   24.00      0  61        1         0
#> 35    24.00      0  51        0         0
#> 198   24.00      0  66        0         1
#> 72    24.00      0  40        0         1
#> 172   24.00      0  41        0         0
#> 28.1  24.00      0  67        1         0
#> 135   24.00      0  58        1         0
#> 161   24.00      0  45        0         0
#> 11    24.00      0  42        0         1
#> 71    24.00      0  51        0         0
#> 148.1 24.00      0  61        1         0
#> 174   24.00      0  49        1         0
#> 34    24.00      0  36        0         0
#> 182   24.00      0  35        0         0
#> 103   24.00      0  56        1         0
#> 27    24.00      0  63        1         0
#> 182.1 24.00      0  35        0         0
#> 47    24.00      0  38        0         1
#> 196   24.00      0  19        0         0
#> 116   24.00      0  58        0         1
#> 185   24.00      0  44        1         0
#> 137   24.00      0  45        1         0
#> 65    24.00      0  57        1         0
#> 138   24.00      0  44        1         0
#> 126   24.00      0  48        0         0
#> 72.1  24.00      0  40        0         1
#> 126.1 24.00      0  48        0         0
#> 120   24.00      0  68        0         1
#> 9     24.00      0  31        1         0
#> 196.1 24.00      0  19        0         0
#> 160.1 24.00      0  31        1         0
#> 38    24.00      0  31        1         0
#> 137.1 24.00      0  45        1         0
#> 33    24.00      0  53        0         0
#> 19.1  24.00      0  57        0         1
#> 9.1   24.00      0  31        1         0
#> 196.2 24.00      0  19        0         0
#> 116.1 24.00      0  58        0         1
#> 21    24.00      0  47        0         0
#> 118   24.00      0  44        1         0
#> 103.1 24.00      0  56        1         0
#> 102   24.00      0  49        0         0
#> 75    24.00      0  21        1         0
#> 182.2 24.00      0  35        0         0
#> 35.1  24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 121   24.00      0  57        1         0
#> 27.1  24.00      0  63        1         0
#> 84    24.00      0  39        0         1
#> 178   24.00      0  52        1         0
#> 98    24.00      0  34        1         0
#> 132   24.00      0  55        0         0
#> 34.1  24.00      0  36        0         0
#> 83    24.00      0   6        0         0
#> 174.1 24.00      0  49        1         0
#> 144   24.00      0  28        0         1
#> 193.1 24.00      0  45        0         1
#> 151   24.00      0  42        0         0
#> 95    24.00      0  68        0         1
#> 27.2  24.00      0  63        1         0
#> 64    24.00      0  43        0         0
#> 141   24.00      0  44        1         0
#> 142   24.00      0  53        0         0
#> 182.3 24.00      0  35        0         0
#> 173   24.00      0  19        0         1
#> 17    24.00      0  38        0         1
#> 38.1  24.00      0  31        1         0
#> 162   24.00      0  51        0         0
#> 75.1  24.00      0  21        1         0
#> 95.1  24.00      0  68        0         1
#> 65.1  24.00      0  57        1         0
#> 142.1 24.00      0  53        0         0
#> 132.1 24.00      0  55        0         0
#> 144.1 24.00      0  28        0         1
#> 135.1 24.00      0  58        1         0
#> 135.2 24.00      0  58        1         0
#> 31    24.00      0  36        0         1
#> 193.2 24.00      0  45        0         1
#> 122   24.00      0  66        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.598          NA        NA      NA
#> 2 age, Cure model          0.00878        NA        NA      NA
#> 3 grade_ii, Cure model     0.224          NA        NA      NA
#> 4 grade_iii, Cure model    0.697          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0174        NA        NA      NA
#> 2 grade_ii, Survival model    0.735         NA        NA      NA
#> 3 grade_iii, Survival model   0.446         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.598406          0.008776          0.224268          0.697394  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258.6 
#> Residual Deviance: 253.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.598406348      0.008776202      0.224268444      0.697393616 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       -0.0173782        0.7353625        0.4458821 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 3.090606e-01 9.474462e-04 8.515630e-01 4.849049e-01 2.788145e-01
#>   [6] 7.627739e-02 3.824733e-01 8.250216e-01 6.189260e-01 2.303182e-01
#>  [11] 2.022430e-01 1.161587e-01 6.313731e-01 9.946219e-02 7.328420e-01
#>  [16] 7.328420e-01 9.474462e-04 9.474462e-04 8.250216e-01 5.088969e-01
#>  [21] 4.849049e-01 3.779139e-02 1.413804e-01 2.208291e-01 9.050863e-01
#>  [26] 2.988088e-01 5.536468e-02 4.494185e-01 8.515630e-01 4.729891e-01
#>  [31] 9.725459e-01 9.946219e-02 7.982105e-01 3.090606e-01 1.161587e-01
#>  [36] 1.842153e-01 4.337150e-02 6.216962e-02 3.220827e-02 9.454500e-01
#>  [41] 2.492641e-01 4.044800e-01 7.982105e-01 5.946343e-01 8.783963e-01
#>  [46] 3.090606e-01 3.505937e-01 4.337150e-02 2.492641e-01 6.942126e-01
#>  [51] 7.328420e-01 9.319820e-01 5.946343e-01 8.388445e-02 1.586548e-01
#>  [56] 5.088969e-01 4.266190e-01 6.564551e-01 1.754160e-01 5.456021e-01
#>  [61] 2.687712e-01 6.587749e-03 5.821171e-01 9.184837e-01 2.113844e-01
#>  [66] 1.586548e-01 4.611091e-01 3.505937e-01 3.398420e-01 6.814944e-01
#>  [71] 1.678025e-02 6.942126e-01 1.161587e-01 8.783963e-01 4.266190e-01
#>  [76] 6.216962e-02 6.439026e-01 2.303182e-01 5.456021e-01 7.848380e-01
#>  [81] 2.887799e-01 3.505937e-01 5.456021e-01 6.587749e-03 7.328420e-01
#>  [86] 6.587749e-03 2.161681e-02 2.680772e-02 6.564551e-01 3.824733e-01
#>  [91] 1.413804e-01 5.088969e-01 7.198309e-01 3.241118e-05 8.388445e-02
#>  [96] 4.044800e-01 9.454500e-01 1.932279e-01 9.725459e-01 0.000000e+00
#> [101] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00
#> 
#> $Time
#>   125   164   183    13   192   170    29   101   177   171   111   108    42 
#> 15.65 23.60  9.24 14.34 16.44 19.54 15.45  9.97 12.53 16.57 17.45 18.29 12.43 
#>     8    93  93.1 164.1 164.2 101.1    81  13.1   190    41   106    70   100 
#> 18.43 10.33 10.33 23.60 23.60  9.97 14.06 14.34 20.81 18.02 16.67  7.38 16.07 
#>   150   180 183.1    96   127   8.1   145 125.1 108.1   110    68   158    99 
#> 20.33 14.82  9.24 14.54  3.53 18.43 10.07 15.65 18.29 17.56 20.62 20.14 21.19 
#>    91   130    18 145.1   154   149 125.2   167  68.1 130.1    10  93.2    25 
#>  5.33 16.47 15.21 10.07 12.63  8.37 15.65 15.55 20.62 16.47 10.53 10.33  6.32 
#> 154.1    76    40  81.1   157   107   184    60   181   113    14    77    30 
#> 12.63 19.22 18.00 14.06 15.10 11.18 17.77 13.15 16.46 22.86 12.89  7.27 17.43 
#>  40.1   133 167.1     6   159   136  10.1 108.2 149.1 157.1 158.1    49 171.1 
#> 18.00 14.65 15.55 15.64 10.55 21.83 10.53 18.29  8.37 15.10 20.14 12.19 16.57 
#>  60.1    61    79 167.2  60.2 113.1  93.3 113.2   139   153 107.1  29.1  41.1 
#> 13.15 10.12 16.23 15.55 13.15 22.86 10.33 22.86 21.49 21.33 11.18 15.45 18.02 
#>  81.2    52   168  76.1  18.1  91.1   117 127.1   160   176   193    19    28 
#> 14.06 10.42 23.72 19.22 15.21  5.33 17.46  3.53 24.00 24.00 24.00 24.00 24.00 
#>   186   156    67   112   148    35   198    72   172  28.1   135   161    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71 148.1   174    34   182   103    27 182.1    47   196   116   185   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    65   138   126  72.1 126.1   120     9 196.1 160.1    38 137.1    33  19.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.1 196.2 116.1    21   118 103.1   102    75 182.2  35.1    22   121  27.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84   178    98   132  34.1    83 174.1   144 193.1   151    95  27.2    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141   142 182.3   173    17  38.1   162  75.1  95.1  65.1 142.1 132.1 144.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 135.1 135.2    31 193.2   122 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[16]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004144199               0.837147326               0.690855349 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.84077007              0.01560229              0.48387407 
#>   grade_iii, Cure model 
#>              0.34823218 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 111   17.45      1  47        0         1
#> 92    22.92      1  47        0         1
#> 107   11.18      1  54        1         0
#> 60    13.15      1  38        1         0
#> 51    18.23      1  83        0         1
#> 158   20.14      1  74        1         0
#> 42    12.43      1  49        0         1
#> 145   10.07      1  65        1         0
#> 106   16.67      1  49        1         0
#> 197   21.60      1  69        1         0
#> 77     7.27      1  67        0         1
#> 113   22.86      1  34        0         0
#> 171   16.57      1  41        0         1
#> 97    19.14      1  65        0         1
#> 24    23.89      1  38        0         0
#> 36    21.19      1  48        0         1
#> 149    8.37      1  33        1         0
#> 77.1   7.27      1  67        0         1
#> 149.1  8.37      1  33        1         0
#> 39    15.59      1  37        0         1
#> 175   21.91      1  43        0         0
#> 66    22.13      1  53        0         0
#> 167   15.55      1  56        1         0
#> 14    12.89      1  21        0         0
#> 180   14.82      1  37        0         0
#> 149.2  8.37      1  33        1         0
#> 18    15.21      1  49        1         0
#> 52    10.42      1  52        0         1
#> 128   20.35      1  35        0         1
#> 166   19.98      1  48        0         0
#> 197.1 21.60      1  69        1         0
#> 108   18.29      1  39        0         1
#> 179   18.63      1  42        0         0
#> 167.1 15.55      1  56        1         0
#> 187    9.92      1  39        1         0
#> 153   21.33      1  55        1         0
#> 113.1 22.86      1  34        0         0
#> 70     7.38      1  30        1         0
#> 117   17.46      1  26        0         1
#> 93    10.33      1  52        0         1
#> 25     6.32      1  34        1         0
#> 79    16.23      1  54        1         0
#> 15    22.68      1  48        0         0
#> 175.1 21.91      1  43        0         0
#> 15.1  22.68      1  48        0         0
#> 128.1 20.35      1  35        0         1
#> 14.1  12.89      1  21        0         0
#> 150   20.33      1  48        0         0
#> 16     8.71      1  71        0         1
#> 60.1  13.15      1  38        1         0
#> 187.1  9.92      1  39        1         0
#> 107.1 11.18      1  54        1         0
#> 16.1   8.71      1  71        0         1
#> 89    11.44      1  NA        0         0
#> 57    14.46      1  45        0         1
#> 69    23.23      1  25        0         1
#> 189   10.51      1  NA        1         0
#> 89.1  11.44      1  NA        0         0
#> 125   15.65      1  67        1         0
#> 41    18.02      1  40        1         0
#> 26    15.77      1  49        0         1
#> 97.1  19.14      1  65        0         1
#> 127    3.53      1  62        0         1
#> 10    10.53      1  34        0         0
#> 79.1  16.23      1  54        1         0
#> 129   23.41      1  53        1         0
#> 107.2 11.18      1  54        1         0
#> 59    10.16      1  NA        1         0
#> 10.1  10.53      1  34        0         0
#> 57.1  14.46      1  45        0         1
#> 6     15.64      1  39        0         0
#> 149.3  8.37      1  33        1         0
#> 43    12.10      1  61        0         1
#> 26.1  15.77      1  49        0         1
#> 6.1   15.64      1  39        0         0
#> 51.1  18.23      1  83        0         1
#> 111.1 17.45      1  47        0         1
#> 114   13.68      1  NA        0         0
#> 68    20.62      1  44        0         0
#> 4     17.64      1  NA        0         1
#> 188   16.16      1  46        0         1
#> 125.1 15.65      1  67        1         0
#> 30    17.43      1  78        0         0
#> 68.1  20.62      1  44        0         0
#> 40    18.00      1  28        1         0
#> 150.1 20.33      1  48        0         0
#> 124    9.73      1  NA        1         0
#> 127.1  3.53      1  62        0         1
#> 68.2  20.62      1  44        0         0
#> 88    18.37      1  47        0         0
#> 130   16.47      1  53        0         1
#> 114.1 13.68      1  NA        0         0
#> 124.1  9.73      1  NA        1         0
#> 32    20.90      1  37        1         0
#> 124.2  9.73      1  NA        1         0
#> 149.4  8.37      1  33        1         0
#> 184   17.77      1  38        0         0
#> 195   11.76      1  NA        1         0
#> 167.2 15.55      1  56        1         0
#> 96    14.54      1  33        0         1
#> 56    12.21      1  60        0         0
#> 159   10.55      1  50        0         1
#> 167.3 15.55      1  56        1         0
#> 66.1  22.13      1  53        0         0
#> 125.2 15.65      1  67        1         0
#> 52.1  10.42      1  52        0         1
#> 61    10.12      1  36        0         1
#> 59.1  10.16      1  NA        1         0
#> 70.1   7.38      1  30        1         0
#> 155   13.08      1  26        0         0
#> 5     16.43      1  51        0         1
#> 150.2 20.33      1  48        0         0
#> 160   24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 17    24.00      0  38        0         1
#> 144   24.00      0  28        0         1
#> 122   24.00      0  66        0         0
#> 82    24.00      0  34        0         0
#> 142   24.00      0  53        0         0
#> 138   24.00      0  44        1         0
#> 186   24.00      0  45        1         0
#> 1     24.00      0  23        1         0
#> 163   24.00      0  66        0         0
#> 35    24.00      0  51        0         0
#> 196   24.00      0  19        0         0
#> 17.1  24.00      0  38        0         1
#> 95    24.00      0  68        0         1
#> 31    24.00      0  36        0         1
#> 162   24.00      0  51        0         0
#> 115   24.00      0  NA        1         0
#> 53    24.00      0  32        0         1
#> 74    24.00      0  43        0         1
#> 35.1  24.00      0  51        0         0
#> 112   24.00      0  61        0         0
#> 138.1 24.00      0  44        1         0
#> 121   24.00      0  57        1         0
#> 191   24.00      0  60        0         1
#> 11    24.00      0  42        0         1
#> 118   24.00      0  44        1         0
#> 186.1 24.00      0  45        1         0
#> 116   24.00      0  58        0         1
#> 3     24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 64    24.00      0  43        0         0
#> 162.1 24.00      0  51        0         0
#> 121.1 24.00      0  57        1         0
#> 44    24.00      0  56        0         0
#> 17.2  24.00      0  38        0         1
#> 80.1  24.00      0  41        0         0
#> 126   24.00      0  48        0         0
#> 11.1  24.00      0  42        0         1
#> 185   24.00      0  44        1         0
#> 20    24.00      0  46        1         0
#> 95.1  24.00      0  68        0         1
#> 116.1 24.00      0  58        0         1
#> 172   24.00      0  41        0         0
#> 162.2 24.00      0  51        0         0
#> 146   24.00      0  63        1         0
#> 185.1 24.00      0  44        1         0
#> 144.1 24.00      0  28        0         1
#> 141   24.00      0  44        1         0
#> 200   24.00      0  64        0         0
#> 163.1 24.00      0  66        0         0
#> 144.2 24.00      0  28        0         1
#> 82.1  24.00      0  34        0         0
#> 67    24.00      0  25        0         0
#> 75    24.00      0  21        1         0
#> 67.1  24.00      0  25        0         0
#> 84    24.00      0  39        0         1
#> 115.1 24.00      0  NA        1         0
#> 148   24.00      0  61        1         0
#> 53.1  24.00      0  32        0         1
#> 186.2 24.00      0  45        1         0
#> 198   24.00      0  66        0         1
#> 72    24.00      0  40        0         1
#> 144.3 24.00      0  28        0         1
#> 95.2  24.00      0  68        0         1
#> 142.1 24.00      0  53        0         0
#> 83    24.00      0   6        0         0
#> 2     24.00      0   9        0         0
#> 84.1  24.00      0  39        0         1
#> 161   24.00      0  45        0         0
#> 156   24.00      0  50        1         0
#> 163.2 24.00      0  66        0         0
#> 173   24.00      0  19        0         1
#> 182   24.00      0  35        0         0
#> 132   24.00      0  55        0         0
#> 102   24.00      0  49        0         0
#> 20.1  24.00      0  46        1         0
#> 182.1 24.00      0  35        0         0
#> 28    24.00      0  67        1         0
#> 119   24.00      0  17        0         0
#> 95.3  24.00      0  68        0         1
#> 143   24.00      0  51        0         0
#> 174.1 24.00      0  49        1         0
#> 141.1 24.00      0  44        1         0
#> 72.1  24.00      0  40        0         1
#> 152   24.00      0  36        0         1
#> 72.2  24.00      0  40        0         1
#> 35.2  24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.841         NA        NA      NA
#> 2 age, Cure model           0.0156        NA        NA      NA
#> 3 grade_ii, Cure model      0.484         NA        NA      NA
#> 4 grade_iii, Cure model     0.348         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00414        NA        NA      NA
#> 2 grade_ii, Survival model   0.837          NA        NA      NA
#> 3 grade_iii, Survival model  0.691          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -0.8408            0.0156            0.4839            0.3482  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.8 
#> Residual Deviance: 252.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.84077007       0.01560229       0.48387407       0.34823218 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004144199      0.837147326      0.690855349 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.50388675 0.07810433 0.80661610 0.74366304 0.44056777 0.36152361
#>   [7] 0.78302600 0.88211368 0.53376248 0.20438884 0.96634761 0.09189531
#>  [13] 0.54365513 0.38465562 0.01341598 0.24422906 0.91845072 0.96634761
#>  [19] 0.91845072 0.66155115 0.17483462 0.14608320 0.67024226 0.76727396
#>  [25] 0.71119171 0.91845072 0.70295354 0.85214023 0.30446522 0.37305726
#>  [31] 0.20438884 0.42943490 0.40681327 0.67024226 0.88952126 0.23111234
#>  [37] 0.09189531 0.95270249 0.49361635 0.86715684 0.97989486 0.57266191
#>  [43] 0.11841916 0.17483462 0.11841916 0.30446522 0.76727396 0.32727506
#>  [49] 0.90404232 0.74366304 0.88952126 0.80661610 0.90404232 0.72762574
#>  [55] 0.06256457 0.61825777 0.46210684 0.60032671 0.38465562 0.98664494
#>  [61] 0.83696083 0.57266191 0.04325026 0.80661610 0.83696083 0.72762574
#>  [67] 0.64412122 0.91845072 0.79877534 0.60032671 0.64412122 0.44056777
#>  [73] 0.50388675 0.26901125 0.59111902 0.61825777 0.52370481 0.26901125
#>  [79] 0.47276438 0.32727506 0.98664494 0.26901125 0.41809700 0.55342624
#>  [85] 0.25691314 0.91845072 0.48317397 0.67024226 0.71944346 0.79089204
#>  [91] 0.82935462 0.67024226 0.14608320 0.61825777 0.85214023 0.87465824
#>  [97] 0.95270249 0.75937070 0.56309461 0.32727506 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   111    92   107    60    51   158    42   145   106   197    77   113   171 
#> 17.45 22.92 11.18 13.15 18.23 20.14 12.43 10.07 16.67 21.60  7.27 22.86 16.57 
#>    97    24    36   149  77.1 149.1    39   175    66   167    14   180 149.2 
#> 19.14 23.89 21.19  8.37  7.27  8.37 15.59 21.91 22.13 15.55 12.89 14.82  8.37 
#>    18    52   128   166 197.1   108   179 167.1   187   153 113.1    70   117 
#> 15.21 10.42 20.35 19.98 21.60 18.29 18.63 15.55  9.92 21.33 22.86  7.38 17.46 
#>    93    25    79    15 175.1  15.1 128.1  14.1   150    16  60.1 187.1 107.1 
#> 10.33  6.32 16.23 22.68 21.91 22.68 20.35 12.89 20.33  8.71 13.15  9.92 11.18 
#>  16.1    57    69   125    41    26  97.1   127    10  79.1   129 107.2  10.1 
#>  8.71 14.46 23.23 15.65 18.02 15.77 19.14  3.53 10.53 16.23 23.41 11.18 10.53 
#>  57.1     6 149.3    43  26.1   6.1  51.1 111.1    68   188 125.1    30  68.1 
#> 14.46 15.64  8.37 12.10 15.77 15.64 18.23 17.45 20.62 16.16 15.65 17.43 20.62 
#>    40 150.1 127.1  68.2    88   130    32 149.4   184 167.2    96    56   159 
#> 18.00 20.33  3.53 20.62 18.37 16.47 20.90  8.37 17.77 15.55 14.54 12.21 10.55 
#> 167.3  66.1 125.2  52.1    61  70.1   155     5 150.2   160   174    17   144 
#> 15.55 22.13 15.65 10.42 10.12  7.38 13.08 16.43 20.33 24.00 24.00 24.00 24.00 
#>   122    82   142   138   186     1   163    35   196  17.1    95    31   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53    74  35.1   112 138.1   121   191    11   118 186.1   116     3    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64 162.1 121.1    44  17.2  80.1   126  11.1   185    20  95.1 116.1   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 162.2   146 185.1 144.1   141   200 163.1 144.2  82.1    67    75  67.1    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148  53.1 186.2   198    72 144.3  95.2 142.1    83     2  84.1   161   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 163.2   173   182   132   102  20.1 182.1    28   119  95.3   143 174.1 141.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.1   152  72.2  35.2 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[17]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01066196                0.41244009                0.03820652 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -0.2314988               0.0042034              -0.2398537 
#>   grade_iii, Cure model 
#>               0.9380463 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 6     15.64      1  39        0         0
#> 24    23.89      1  38        0         0
#> 70     7.38      1  30        1         0
#> 130   16.47      1  53        0         1
#> 16     8.71      1  71        0         1
#> 40    18.00      1  28        1         0
#> 129   23.41      1  53        1         0
#> 61    10.12      1  36        0         1
#> 25     6.32      1  34        1         0
#> 97    19.14      1  65        0         1
#> 13    14.34      1  54        0         1
#> 107   11.18      1  54        1         0
#> 105   19.75      1  60        0         0
#> 110   17.56      1  65        0         1
#> 180   14.82      1  37        0         0
#> 113   22.86      1  34        0         0
#> 125   15.65      1  67        1         0
#> 175   21.91      1  43        0         0
#> 70.1   7.38      1  30        1         0
#> 13.1  14.34      1  54        0         1
#> 37    12.52      1  57        1         0
#> 189   10.51      1  NA        1         0
#> 57    14.46      1  45        0         1
#> 89    11.44      1  NA        0         0
#> 55    19.34      1  69        0         1
#> 125.1 15.65      1  67        1         0
#> 4     17.64      1  NA        0         1
#> 111   17.45      1  47        0         1
#> 5     16.43      1  51        0         1
#> 43    12.10      1  61        0         1
#> 79    16.23      1  54        1         0
#> 92    22.92      1  47        0         1
#> 79.1  16.23      1  54        1         0
#> 150   20.33      1  48        0         0
#> 164   23.60      1  76        0         1
#> 139   21.49      1  63        1         0
#> 49    12.19      1  48        1         0
#> 60    13.15      1  38        1         0
#> 89.1  11.44      1  NA        0         0
#> 66    22.13      1  53        0         0
#> 91     5.33      1  61        0         1
#> 100   16.07      1  60        0         0
#> 157   15.10      1  47        0         0
#> 92.1  22.92      1  47        0         1
#> 69    23.23      1  25        0         1
#> 13.2  14.34      1  54        0         1
#> 23    16.92      1  61        0         0
#> 117   17.46      1  26        0         1
#> 175.1 21.91      1  43        0         0
#> 154   12.63      1  20        1         0
#> 69.1  23.23      1  25        0         1
#> 125.2 15.65      1  67        1         0
#> 187    9.92      1  39        1         0
#> 10    10.53      1  34        0         0
#> 184   17.77      1  38        0         0
#> 88    18.37      1  47        0         0
#> 57.1  14.46      1  45        0         1
#> 41    18.02      1  40        1         0
#> 114   13.68      1  NA        0         0
#> 158   20.14      1  74        1         0
#> 59    10.16      1  NA        1         0
#> 187.1  9.92      1  39        1         0
#> 4.1   17.64      1  NA        0         1
#> 184.1 17.77      1  38        0         0
#> 29    15.45      1  68        1         0
#> 179   18.63      1  42        0         0
#> 36    21.19      1  48        0         1
#> 4.2   17.64      1  NA        0         1
#> 13.3  14.34      1  54        0         1
#> 89.2  11.44      1  NA        0         0
#> 77     7.27      1  67        0         1
#> 16.1   8.71      1  71        0         1
#> 100.1 16.07      1  60        0         0
#> 63    22.77      1  31        1         0
#> 90    20.94      1  50        0         1
#> 40.1  18.00      1  28        1         0
#> 51    18.23      1  83        0         1
#> 77.1   7.27      1  67        0         1
#> 90.1  20.94      1  50        0         1
#> 188   16.16      1  46        0         1
#> 157.1 15.10      1  47        0         0
#> 96    14.54      1  33        0         1
#> 23.1  16.92      1  61        0         0
#> 127    3.53      1  62        0         1
#> 140   12.68      1  59        1         0
#> 188.1 16.16      1  46        0         1
#> 26    15.77      1  49        0         1
#> 111.1 17.45      1  47        0         1
#> 77.2   7.27      1  67        0         1
#> 190   20.81      1  42        1         0
#> 192   16.44      1  31        1         0
#> 194   22.40      1  38        0         1
#> 128   20.35      1  35        0         1
#> 90.2  20.94      1  50        0         1
#> 113.1 22.86      1  34        0         0
#> 194.1 22.40      1  38        0         1
#> 133   14.65      1  57        0         0
#> 170   19.54      1  43        0         1
#> 155   13.08      1  26        0         0
#> 39    15.59      1  37        0         1
#> 37.1  12.52      1  57        1         0
#> 81    14.06      1  34        0         0
#> 56    12.21      1  60        0         0
#> 58    19.34      1  39        0         0
#> 133.1 14.65      1  57        0         0
#> 29.1  15.45      1  68        1         0
#> 93    10.33      1  52        0         1
#> 128.1 20.35      1  35        0         1
#> 169   22.41      1  46        0         0
#> 56.1  12.21      1  60        0         0
#> 140.1 12.68      1  59        1         0
#> 90.3  20.94      1  50        0         1
#> 38    24.00      0  31        1         0
#> 103   24.00      0  56        1         0
#> 148   24.00      0  61        1         0
#> 176   24.00      0  43        0         1
#> 178   24.00      0  52        1         0
#> 73    24.00      0  NA        0         1
#> 19    24.00      0  57        0         1
#> 98    24.00      0  34        1         0
#> 193   24.00      0  45        0         1
#> 3     24.00      0  31        1         0
#> 3.1   24.00      0  31        1         0
#> 165   24.00      0  47        0         0
#> 12    24.00      0  63        0         0
#> 122   24.00      0  66        0         0
#> 65    24.00      0  57        1         0
#> 34    24.00      0  36        0         0
#> 82    24.00      0  34        0         0
#> 144   24.00      0  28        0         1
#> 122.1 24.00      0  66        0         0
#> 165.1 24.00      0  47        0         0
#> 19.1  24.00      0  57        0         1
#> 172   24.00      0  41        0         0
#> 160   24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 48    24.00      0  31        1         0
#> 200   24.00      0  64        0         0
#> 87    24.00      0  27        0         0
#> 17    24.00      0  38        0         1
#> 27    24.00      0  63        1         0
#> 3.2   24.00      0  31        1         0
#> 147   24.00      0  76        1         0
#> 193.1 24.00      0  45        0         1
#> 161   24.00      0  45        0         0
#> 173   24.00      0  19        0         1
#> 138   24.00      0  44        1         0
#> 147.1 24.00      0  76        1         0
#> 121   24.00      0  57        1         0
#> 148.1 24.00      0  61        1         0
#> 178.1 24.00      0  52        1         0
#> 152   24.00      0  36        0         1
#> 163   24.00      0  66        0         0
#> 62    24.00      0  71        0         0
#> 186   24.00      0  45        1         0
#> 48.1  24.00      0  31        1         0
#> 116   24.00      0  58        0         1
#> 44    24.00      0  56        0         0
#> 174   24.00      0  49        1         0
#> 33    24.00      0  53        0         0
#> 186.1 24.00      0  45        1         0
#> 54    24.00      0  53        1         0
#> 67    24.00      0  25        0         0
#> 7     24.00      0  37        1         0
#> 138.1 24.00      0  44        1         0
#> 143   24.00      0  51        0         0
#> 151   24.00      0  42        0         0
#> 185   24.00      0  44        1         0
#> 38.1  24.00      0  31        1         0
#> 27.1  24.00      0  63        1         0
#> 1     24.00      0  23        1         0
#> 33.1  24.00      0  53        0         0
#> 104   24.00      0  50        1         0
#> 34.1  24.00      0  36        0         0
#> 198   24.00      0  66        0         1
#> 148.2 24.00      0  61        1         0
#> 98.1  24.00      0  34        1         0
#> 33.2  24.00      0  53        0         0
#> 162   24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 135   24.00      0  58        1         0
#> 165.2 24.00      0  47        0         0
#> 83    24.00      0   6        0         0
#> 94    24.00      0  51        0         1
#> 182   24.00      0  35        0         0
#> 2     24.00      0   9        0         0
#> 163.1 24.00      0  66        0         0
#> 95    24.00      0  68        0         1
#> 132   24.00      0  55        0         0
#> 7.1   24.00      0  37        1         0
#> 17.1  24.00      0  38        0         1
#> 191   24.00      0  60        0         1
#> 95.1  24.00      0  68        0         1
#> 135.1 24.00      0  58        1         0
#> 121.1 24.00      0  57        1         0
#> 74    24.00      0  43        0         1
#> 115   24.00      0  NA        1         0
#> 20    24.00      0  46        1         0
#> 148.3 24.00      0  61        1         0
#> 84    24.00      0  39        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.231          NA        NA      NA
#> 2 age, Cure model          0.00420        NA        NA      NA
#> 3 grade_ii, Cure model    -0.240          NA        NA      NA
#> 4 grade_iii, Cure model    0.938          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0107        NA        NA      NA
#> 2 grade_ii, Survival model    0.412         NA        NA      NA
#> 3 grade_iii, Survival model   0.0382        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.231499          0.004203         -0.239854          0.938046  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 248.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -0.2314988        0.0042034       -0.2398537        0.9380463 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01066196       0.41244009       0.03820652 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.75326693 0.05645349 0.96022512 0.66116521 0.94999356 0.58065573
#>   [7] 0.14273632 0.93435313 0.98521313 0.53588309 0.82789791 0.91842418
#>  [13] 0.49782672 0.61367727 0.79131903 0.24238398 0.73367659 0.35041487
#>  [19] 0.96022512 0.82789791 0.88573825 0.81585006 0.51729525 0.73367659
#>  [25] 0.62990996 0.67646468 0.91304484 0.68399935 0.20690158 0.68399935
#>  [31] 0.47738939 0.10997918 0.37706658 0.90763391 0.85712686 0.33618413
#>  [37] 0.99016657 0.71269879 0.77890079 0.20690158 0.16650035 0.82789791
#>  [43] 0.64571082 0.62181326 0.35041487 0.88009235 0.16650035 0.73367659
#>  [49] 0.93962634 0.92375091 0.59728047 0.55420105 0.81585006 0.57202517
#>  [55] 0.48785670 0.93962634 0.59728047 0.76635240 0.54508553 0.38974395
#>  [61] 0.82789791 0.97034031 0.94999356 0.71269879 0.27574453 0.40212606
#>  [67] 0.58065573 0.56322007 0.97034031 0.40212606 0.69845175 0.77890079
#>  [73] 0.80974229 0.64571082 0.99509558 0.86877384 0.69845175 0.72669517
#>  [79] 0.62990996 0.97034031 0.44549342 0.66886316 0.30742054 0.45637988
#>  [85] 0.40212606 0.24238398 0.30742054 0.79752905 0.50762101 0.86295663
#>  [91] 0.75982492 0.88573825 0.85124650 0.89674595 0.51729525 0.79752905
#>  [97] 0.76635240 0.92906425 0.45637988 0.29185432 0.89674595 0.86877384
#> [103] 0.40212606 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>     6    24    70   130    16    40   129    61    25    97    13   107   105 
#> 15.64 23.89  7.38 16.47  8.71 18.00 23.41 10.12  6.32 19.14 14.34 11.18 19.75 
#>   110   180   113   125   175  70.1  13.1    37    57    55 125.1   111     5 
#> 17.56 14.82 22.86 15.65 21.91  7.38 14.34 12.52 14.46 19.34 15.65 17.45 16.43 
#>    43    79    92  79.1   150   164   139    49    60    66    91   100   157 
#> 12.10 16.23 22.92 16.23 20.33 23.60 21.49 12.19 13.15 22.13  5.33 16.07 15.10 
#>  92.1    69  13.2    23   117 175.1   154  69.1 125.2   187    10   184    88 
#> 22.92 23.23 14.34 16.92 17.46 21.91 12.63 23.23 15.65  9.92 10.53 17.77 18.37 
#>  57.1    41   158 187.1 184.1    29   179    36  13.3    77  16.1 100.1    63 
#> 14.46 18.02 20.14  9.92 17.77 15.45 18.63 21.19 14.34  7.27  8.71 16.07 22.77 
#>    90  40.1    51  77.1  90.1   188 157.1    96  23.1   127   140 188.1    26 
#> 20.94 18.00 18.23  7.27 20.94 16.16 15.10 14.54 16.92  3.53 12.68 16.16 15.77 
#> 111.1  77.2   190   192   194   128  90.2 113.1 194.1   133   170   155    39 
#> 17.45  7.27 20.81 16.44 22.40 20.35 20.94 22.86 22.40 14.65 19.54 13.08 15.59 
#>  37.1    81    56    58 133.1  29.1    93 128.1   169  56.1 140.1  90.3    38 
#> 12.52 14.06 12.21 19.34 14.65 15.45 10.33 20.35 22.41 12.21 12.68 20.94 24.00 
#>   103   148   176   178    19    98   193     3   3.1   165    12   122    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34    82   144 122.1 165.1  19.1   172   160    46    48   200    87    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27   3.2   147 193.1   161   173   138 147.1   121 148.1 178.1   152   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62   186  48.1   116    44   174    33 186.1    54    67     7 138.1   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   151   185  38.1  27.1     1  33.1   104  34.1   198 148.2  98.1  33.2   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126   135 165.2    83    94   182     2 163.1    95   132   7.1  17.1   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  95.1 135.1 121.1    74    20 148.3    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[18]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01019387                0.82991395                0.13453887 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>           -1.217539e+00            2.346543e-02           -2.841966e-05 
#>   grade_iii, Cure model 
#>            1.077022e+00 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 155   13.08      1  26        0         0
#> 45    17.42      1  54        0         1
#> 106   16.67      1  49        1         0
#> 49    12.19      1  48        1         0
#> 10    10.53      1  34        0         0
#> 99    21.19      1  38        0         1
#> 15    22.68      1  48        0         0
#> 169   22.41      1  46        0         0
#> 101    9.97      1  10        0         1
#> 97    19.14      1  65        0         1
#> 188   16.16      1  46        0         1
#> 175   21.91      1  43        0         0
#> 55    19.34      1  69        0         1
#> 6     15.64      1  39        0         0
#> 181   16.46      1  45        0         1
#> 6.1   15.64      1  39        0         0
#> 168   23.72      1  70        0         0
#> 123   13.00      1  44        1         0
#> 128   20.35      1  35        0         1
#> 4     17.64      1  NA        0         1
#> 157   15.10      1  47        0         0
#> 43    12.10      1  61        0         1
#> 159   10.55      1  50        0         1
#> 76    19.22      1  54        0         1
#> 149    8.37      1  33        1         0
#> 166   19.98      1  48        0         0
#> 41    18.02      1  40        1         0
#> 45.1  17.42      1  54        0         1
#> 101.1  9.97      1  10        0         1
#> 158   20.14      1  74        1         0
#> 145   10.07      1  65        1         0
#> 18    15.21      1  49        1         0
#> 29    15.45      1  68        1         0
#> 171   16.57      1  41        0         1
#> 96    14.54      1  33        0         1
#> 134   17.81      1  47        1         0
#> 170   19.54      1  43        0         1
#> 190   20.81      1  42        1         0
#> 92    22.92      1  47        0         1
#> 15.1  22.68      1  48        0         0
#> 145.1 10.07      1  65        1         0
#> 167   15.55      1  56        1         0
#> 136   21.83      1  43        0         1
#> 6.2   15.64      1  39        0         0
#> 41.1  18.02      1  40        1         0
#> 49.1  12.19      1  48        1         0
#> 105   19.75      1  60        0         0
#> 60    13.15      1  38        1         0
#> 177   12.53      1  75        0         0
#> 97.1  19.14      1  65        0         1
#> 99.1  21.19      1  38        0         1
#> 86    23.81      1  58        0         1
#> 89    11.44      1  NA        0         0
#> 187    9.92      1  39        1         0
#> 167.1 15.55      1  56        1         0
#> 56    12.21      1  60        0         0
#> 105.1 19.75      1  60        0         0
#> 58    19.34      1  39        0         0
#> 175.1 21.91      1  43        0         0
#> 127    3.53      1  62        0         1
#> 43.1  12.10      1  61        0         1
#> 79    16.23      1  54        1         0
#> 32    20.90      1  37        1         0
#> 97.2  19.14      1  65        0         1
#> 166.1 19.98      1  48        0         0
#> 57    14.46      1  45        0         1
#> 96.1  14.54      1  33        0         1
#> 183    9.24      1  67        1         0
#> 76.1  19.22      1  54        0         1
#> 168.1 23.72      1  70        0         0
#> 99.2  21.19      1  38        0         1
#> 105.2 19.75      1  60        0         0
#> 60.1  13.15      1  38        1         0
#> 69    23.23      1  25        0         1
#> 171.1 16.57      1  41        0         1
#> 154   12.63      1  20        1         0
#> 167.2 15.55      1  56        1         0
#> 192   16.44      1  31        1         0
#> 101.2  9.97      1  10        0         1
#> 114   13.68      1  NA        0         0
#> 170.1 19.54      1  43        0         1
#> 170.2 19.54      1  43        0         1
#> 125   15.65      1  67        1         0
#> 189   10.51      1  NA        1         0
#> 155.1 13.08      1  26        0         0
#> 194   22.40      1  38        0         1
#> 101.3  9.97      1  10        0         1
#> 127.1  3.53      1  62        0         1
#> 51    18.23      1  83        0         1
#> 97.3  19.14      1  65        0         1
#> 29.1  15.45      1  68        1         0
#> 181.1 16.46      1  45        0         1
#> 157.1 15.10      1  47        0         0
#> 179   18.63      1  42        0         0
#> 56.1  12.21      1  60        0         0
#> 100   16.07      1  60        0         0
#> 50    10.02      1  NA        1         0
#> 159.1 10.55      1  50        0         1
#> 159.2 10.55      1  50        0         1
#> 111   17.45      1  47        0         1
#> 192.1 16.44      1  31        1         0
#> 155.2 13.08      1  26        0         0
#> 150   20.33      1  48        0         0
#> 89.1  11.44      1  NA        0         0
#> 26    15.77      1  49        0         1
#> 170.3 19.54      1  43        0         1
#> 179.1 18.63      1  42        0         0
#> 194.1 22.40      1  38        0         1
#> 42    12.43      1  49        0         1
#> 52    10.42      1  52        0         1
#> 10.1  10.53      1  34        0         0
#> 8     18.43      1  32        0         0
#> 165   24.00      0  47        0         0
#> 7     24.00      0  37        1         0
#> 173   24.00      0  19        0         1
#> 48    24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 33    24.00      0  53        0         0
#> 160   24.00      0  31        1         0
#> 44    24.00      0  56        0         0
#> 173.1 24.00      0  19        0         1
#> 103   24.00      0  56        1         0
#> 20    24.00      0  46        1         0
#> 72    24.00      0  40        0         1
#> 174   24.00      0  49        1         0
#> 71.1  24.00      0  51        0         0
#> 173.2 24.00      0  19        0         1
#> 144   24.00      0  28        0         1
#> 84    24.00      0  39        0         1
#> 74    24.00      0  43        0         1
#> 103.1 24.00      0  56        1         0
#> 172   24.00      0  41        0         0
#> 193   24.00      0  45        0         1
#> 147   24.00      0  76        1         0
#> 9     24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 126   24.00      0  48        0         0
#> 173.3 24.00      0  19        0         1
#> 104   24.00      0  50        1         0
#> 1     24.00      0  23        1         0
#> 178   24.00      0  52        1         0
#> 17    24.00      0  38        0         1
#> 74.1  24.00      0  43        0         1
#> 28    24.00      0  67        1         0
#> 186   24.00      0  45        1         0
#> 163   24.00      0  66        0         0
#> 53    24.00      0  32        0         1
#> 162   24.00      0  51        0         0
#> 109   24.00      0  48        0         0
#> 82    24.00      0  34        0         0
#> 193.1 24.00      0  45        0         1
#> 163.1 24.00      0  66        0         0
#> 160.1 24.00      0  31        1         0
#> 193.2 24.00      0  45        0         1
#> 33.1  24.00      0  53        0         0
#> 172.1 24.00      0  41        0         0
#> 116   24.00      0  58        0         1
#> 75    24.00      0  21        1         0
#> 161   24.00      0  45        0         0
#> 126.1 24.00      0  48        0         0
#> 112   24.00      0  61        0         0
#> 22    24.00      0  52        1         0
#> 135   24.00      0  58        1         0
#> 19    24.00      0  57        0         1
#> 22.1  24.00      0  52        1         0
#> 146   24.00      0  63        1         0
#> 186.1 24.00      0  45        1         0
#> 1.1   24.00      0  23        1         0
#> 2     24.00      0   9        0         0
#> 87    24.00      0  27        0         0
#> 131   24.00      0  66        0         0
#> 65    24.00      0  57        1         0
#> 144.1 24.00      0  28        0         1
#> 48.1  24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 64    24.00      0  43        0         0
#> 165.1 24.00      0  47        0         0
#> 9.1   24.00      0  31        1         0
#> 165.2 24.00      0  47        0         0
#> 64.1  24.00      0  43        0         0
#> 161.1 24.00      0  45        0         0
#> 174.1 24.00      0  49        1         0
#> 82.1  24.00      0  34        0         0
#> 115   24.00      0  NA        1         0
#> 9.2   24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 104.1 24.00      0  50        1         0
#> 160.2 24.00      0  31        1         0
#> 82.2  24.00      0  34        0         0
#> 131.1 24.00      0  66        0         0
#> 34    24.00      0  36        0         0
#> 75.1  24.00      0  21        1         0
#> 46    24.00      0  71        0         0
#> 27    24.00      0  63        1         0
#> 83    24.00      0   6        0         0
#> 94    24.00      0  51        0         1
#> 122   24.00      0  66        0         0
#> 193.3 24.00      0  45        0         1
#> 67    24.00      0  25        0         0
#> 98    24.00      0  34        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -1.22             NA        NA      NA
#> 2 age, Cure model          0.0235           NA        NA      NA
#> 3 grade_ii, Cure model    -0.0000284        NA        NA      NA
#> 4 grade_iii, Cure model    1.08             NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0102        NA        NA      NA
#> 2 grade_ii, Survival model    0.830         NA        NA      NA
#> 3 grade_iii, Survival model   0.135         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>       -1.218e+00         2.347e-02        -2.842e-05         1.077e+00  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.7 
#> Residual Deviance: 250.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>    -1.217539e+00     2.346543e-02    -2.841966e-05     1.077022e+00 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01019387       0.82991395       0.13453887 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.682373470 0.368608280 0.389506420 0.776556002 0.850346725 0.072079250
#>   [7] 0.019258113 0.030233460 0.904211472 0.246266919 0.473112648 0.049848794
#>  [13] 0.208770772 0.515121883 0.420944019 0.515121883 0.002735736 0.713628053
#>  [19] 0.110184774 0.608972783 0.797436138 0.818529323 0.227255462 0.968052746
#>  [25] 0.133587586 0.327331941 0.368608280 0.904211472 0.125745974 0.882714295
#>  [31] 0.598558974 0.577772189 0.399987948 0.629892391 0.347899812 0.174540290
#>  [37] 0.102609000 0.014100960 0.019258113 0.882714295 0.546712074 0.064202747
#>  [43] 0.515121883 0.327331941 0.776556002 0.149514038 0.661598119 0.734500884
#>  [49] 0.246266919 0.072079250 0.000564134 0.946629078 0.546712074 0.755445572
#>  [55] 0.149514038 0.208770772 0.049848794 0.978680131 0.797436138 0.462778055
#>  [61] 0.094746601 0.246266919 0.133587586 0.650939825 0.629892391 0.957350396
#>  [67] 0.227255462 0.002735736 0.072079250 0.149514038 0.661598119 0.009451850
#>  [73] 0.399987948 0.724129907 0.546712074 0.442193152 0.904211472 0.174540290
#>  [79] 0.174540290 0.504585568 0.682373470 0.036839613 0.904211472 0.978680131
#>  [85] 0.316518765 0.246266919 0.577772189 0.420944019 0.608972783 0.285199763
#>  [91] 0.755445572 0.483511809 0.818529323 0.818529323 0.358210421 0.442193152
#>  [97] 0.682373470 0.117865962 0.494014325 0.174540290 0.285199763 0.036839613
#> [103] 0.744950719 0.871850990 0.850346725 0.305890464 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000
#> 
#> $Time
#>   155    45   106    49    10    99    15   169   101    97   188   175    55 
#> 13.08 17.42 16.67 12.19 10.53 21.19 22.68 22.41  9.97 19.14 16.16 21.91 19.34 
#>     6   181   6.1   168   123   128   157    43   159    76   149   166    41 
#> 15.64 16.46 15.64 23.72 13.00 20.35 15.10 12.10 10.55 19.22  8.37 19.98 18.02 
#>  45.1 101.1   158   145    18    29   171    96   134   170   190    92  15.1 
#> 17.42  9.97 20.14 10.07 15.21 15.45 16.57 14.54 17.81 19.54 20.81 22.92 22.68 
#> 145.1   167   136   6.2  41.1  49.1   105    60   177  97.1  99.1    86   187 
#> 10.07 15.55 21.83 15.64 18.02 12.19 19.75 13.15 12.53 19.14 21.19 23.81  9.92 
#> 167.1    56 105.1    58 175.1   127  43.1    79    32  97.2 166.1    57  96.1 
#> 15.55 12.21 19.75 19.34 21.91  3.53 12.10 16.23 20.90 19.14 19.98 14.46 14.54 
#>   183  76.1 168.1  99.2 105.2  60.1    69 171.1   154 167.2   192 101.2 170.1 
#>  9.24 19.22 23.72 21.19 19.75 13.15 23.23 16.57 12.63 15.55 16.44  9.97 19.54 
#> 170.2   125 155.1   194 101.3 127.1    51  97.3  29.1 181.1 157.1   179  56.1 
#> 19.54 15.65 13.08 22.40  9.97  3.53 18.23 19.14 15.45 16.46 15.10 18.63 12.21 
#>   100 159.1 159.2   111 192.1 155.2   150    26 170.3 179.1 194.1    42    52 
#> 16.07 10.55 10.55 17.45 16.44 13.08 20.33 15.77 19.54 18.63 22.40 12.43 10.42 
#>  10.1     8   165     7   173    48    71    33   160    44 173.1   103    20 
#> 10.53 18.43 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    72   174  71.1 173.2   144    84    74 103.1   172   193   147     9   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126 173.3   104     1   178    17  74.1    28   186   163    53   162   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    82 193.1 163.1 160.1 193.2  33.1 172.1   116    75   161 126.1   112    22 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135    19  22.1   146 186.1   1.1     2    87   131    65 144.1  48.1    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64 165.1   9.1 165.2  64.1 161.1 174.1  82.1   9.2    80 104.1 160.2  82.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.1    34  75.1    46    27    83    94   122 193.3    67    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[19]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003346469               0.873796963               0.524594689 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.13652443              0.01757039              0.31481261 
#>   grade_iii, Cure model 
#>              1.10130103 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 32    20.90      1  37        1         0
#> 168   23.72      1  70        0         0
#> 124    9.73      1  NA        1         0
#> 128   20.35      1  35        0         1
#> 40    18.00      1  28        1         0
#> 18    15.21      1  49        1         0
#> 68    20.62      1  44        0         0
#> 158   20.14      1  74        1         0
#> 97    19.14      1  65        0         1
#> 97.1  19.14      1  65        0         1
#> 124.1  9.73      1  NA        1         0
#> 154   12.63      1  20        1         0
#> 81    14.06      1  34        0         0
#> 199   19.81      1  NA        0         1
#> 16     8.71      1  71        0         1
#> 159   10.55      1  50        0         1
#> 15    22.68      1  48        0         0
#> 69    23.23      1  25        0         1
#> 114   13.68      1  NA        0         0
#> 77     7.27      1  67        0         1
#> 61    10.12      1  36        0         1
#> 24    23.89      1  38        0         0
#> 41    18.02      1  40        1         0
#> 30    17.43      1  78        0         0
#> 30.1  17.43      1  78        0         0
#> 177   12.53      1  75        0         0
#> 199.1 19.81      1  NA        0         1
#> 136   21.83      1  43        0         1
#> 187    9.92      1  39        1         0
#> 50    10.02      1  NA        1         0
#> 90    20.94      1  50        0         1
#> 69.1  23.23      1  25        0         1
#> 139   21.49      1  63        1         0
#> 97.2  19.14      1  65        0         1
#> 59    10.16      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 106   16.67      1  49        1         0
#> 29    15.45      1  68        1         0
#> 58    19.34      1  39        0         0
#> 164   23.60      1  76        0         1
#> 40.1  18.00      1  28        1         0
#> 5     16.43      1  51        0         1
#> 60    13.15      1  38        1         0
#> 16.1   8.71      1  71        0         1
#> 76    19.22      1  54        0         1
#> 127    3.53      1  62        0         1
#> 168.1 23.72      1  70        0         0
#> 171   16.57      1  41        0         1
#> 45    17.42      1  54        0         1
#> 128.1 20.35      1  35        0         1
#> 25     6.32      1  34        1         0
#> 29.1  15.45      1  68        1         0
#> 90.1  20.94      1  50        0         1
#> 128.2 20.35      1  35        0         1
#> 37    12.52      1  57        1         0
#> 145   10.07      1  65        1         0
#> 57    14.46      1  45        0         1
#> 190   20.81      1  42        1         0
#> 180   14.82      1  37        0         0
#> 145.1 10.07      1  65        1         0
#> 158.1 20.14      1  74        1         0
#> 41.1  18.02      1  40        1         0
#> 86    23.81      1  58        0         1
#> 43    12.10      1  61        0         1
#> 158.2 20.14      1  74        1         0
#> 107   11.18      1  54        1         0
#> 18.1  15.21      1  49        1         0
#> 16.2   8.71      1  71        0         1
#> 157   15.10      1  47        0         0
#> 179   18.63      1  42        0         0
#> 124.2  9.73      1  NA        1         0
#> 184   17.77      1  38        0         0
#> 167   15.55      1  56        1         0
#> 43.1  12.10      1  61        0         1
#> 50.1  10.02      1  NA        1         0
#> 175   21.91      1  43        0         0
#> 168.2 23.72      1  70        0         0
#> 171.1 16.57      1  41        0         1
#> 100   16.07      1  60        0         0
#> 40.2  18.00      1  28        1         0
#> 183    9.24      1  67        1         0
#> 78    23.88      1  43        0         0
#> 114.1 13.68      1  NA        0         0
#> 134   17.81      1  47        1         0
#> 49    12.19      1  48        1         0
#> 133   14.65      1  57        0         0
#> 5.1   16.43      1  51        0         1
#> 99    21.19      1  38        0         1
#> 40.3  18.00      1  28        1         0
#> 18.2  15.21      1  49        1         0
#> 114.2 13.68      1  NA        0         0
#> 93    10.33      1  52        0         1
#> 197   21.60      1  69        1         0
#> 184.1 17.77      1  38        0         0
#> 153   21.33      1  55        1         0
#> 157.1 15.10      1  47        0         0
#> 79    16.23      1  54        1         0
#> 49.1  12.19      1  48        1         0
#> 111.1 17.45      1  47        0         1
#> 14    12.89      1  21        0         0
#> 23    16.92      1  61        0         0
#> 136.1 21.83      1  43        0         1
#> 23.1  16.92      1  61        0         0
#> 68.1  20.62      1  44        0         0
#> 188   16.16      1  46        0         1
#> 170   19.54      1  43        0         1
#> 97.3  19.14      1  65        0         1
#> 78.1  23.88      1  43        0         0
#> 88    18.37      1  47        0         0
#> 78.2  23.88      1  43        0         0
#> 171.2 16.57      1  41        0         1
#> 14.1  12.89      1  21        0         0
#> 141   24.00      0  44        1         0
#> 102   24.00      0  49        0         0
#> 151   24.00      0  42        0         0
#> 144   24.00      0  28        0         1
#> 28    24.00      0  67        1         0
#> 2     24.00      0   9        0         0
#> 21    24.00      0  47        0         0
#> 161   24.00      0  45        0         0
#> 84    24.00      0  39        0         1
#> 22    24.00      0  52        1         0
#> 82    24.00      0  34        0         0
#> 135   24.00      0  58        1         0
#> 156   24.00      0  50        1         0
#> 135.1 24.00      0  58        1         0
#> 142   24.00      0  53        0         0
#> 161.1 24.00      0  45        0         0
#> 46    24.00      0  71        0         0
#> 151.1 24.00      0  42        0         0
#> 138   24.00      0  44        1         0
#> 135.2 24.00      0  58        1         0
#> 152   24.00      0  36        0         1
#> 9     24.00      0  31        1         0
#> 102.1 24.00      0  49        0         0
#> 116   24.00      0  58        0         1
#> 132   24.00      0  55        0         0
#> 35    24.00      0  51        0         0
#> 65    24.00      0  57        1         0
#> 35.1  24.00      0  51        0         0
#> 118   24.00      0  44        1         0
#> 94    24.00      0  51        0         1
#> 11    24.00      0  42        0         1
#> 112   24.00      0  61        0         0
#> 138.1 24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 143   24.00      0  51        0         0
#> 27    24.00      0  63        1         0
#> 2.1   24.00      0   9        0         0
#> 178   24.00      0  52        1         0
#> 20    24.00      0  46        1         0
#> 118.1 24.00      0  44        1         0
#> 27.1  24.00      0  63        1         0
#> 193   24.00      0  45        0         1
#> 147   24.00      0  76        1         0
#> 144.1 24.00      0  28        0         1
#> 121   24.00      0  57        1         0
#> 33    24.00      0  53        0         0
#> 132.1 24.00      0  55        0         0
#> 131   24.00      0  66        0         0
#> 131.1 24.00      0  66        0         0
#> 95.1  24.00      0  68        0         1
#> 174   24.00      0  49        1         0
#> 104   24.00      0  50        1         0
#> 98    24.00      0  34        1         0
#> 33.1  24.00      0  53        0         0
#> 172   24.00      0  41        0         0
#> 185   24.00      0  44        1         0
#> 33.2  24.00      0  53        0         0
#> 121.1 24.00      0  57        1         0
#> 47    24.00      0  38        0         1
#> 122   24.00      0  66        0         0
#> 144.2 24.00      0  28        0         1
#> 143.1 24.00      0  51        0         0
#> 80    24.00      0  41        0         0
#> 82.1  24.00      0  34        0         0
#> 176   24.00      0  43        0         1
#> 193.1 24.00      0  45        0         1
#> 83    24.00      0   6        0         0
#> 121.2 24.00      0  57        1         0
#> 178.1 24.00      0  52        1         0
#> 64    24.00      0  43        0         0
#> 163   24.00      0  66        0         0
#> 34    24.00      0  36        0         0
#> 20.1  24.00      0  46        1         0
#> 102.2 24.00      0  49        0         0
#> 138.2 24.00      0  44        1         0
#> 119   24.00      0  17        0         0
#> 126   24.00      0  48        0         0
#> 160   24.00      0  31        1         0
#> 21.1  24.00      0  47        0         0
#> 196   24.00      0  19        0         0
#> 98.1  24.00      0  34        1         0
#> 163.1 24.00      0  66        0         0
#> 47.1  24.00      0  38        0         1
#> 144.3 24.00      0  28        0         1
#> 11.1  24.00      0  42        0         1
#> 135.3 24.00      0  58        1         0
#> 162   24.00      0  51        0         0
#> 174.1 24.00      0  49        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.14          NA        NA      NA
#> 2 age, Cure model           0.0176        NA        NA      NA
#> 3 grade_ii, Cure model      0.315         NA        NA      NA
#> 4 grade_iii, Cure model     1.10          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00335        NA        NA      NA
#> 2 grade_ii, Survival model   0.874          NA        NA      NA
#> 3 grade_iii, Survival model  0.525          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.13652           0.01757           0.31481           1.10130  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    261.1 
#> Residual Deviance: 249.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.13652443       0.01757039       0.31481261       1.10130103 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003346469      0.873796963      0.524594689 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.45384332 0.18850363 0.49794310 0.64710643 0.82240246 0.47633737
#>   [7] 0.52824376 0.58226045 0.58226045 0.89130976 0.86858504 0.97078218
#>  [13] 0.93484796 0.30745224 0.27194469 0.98544807 0.94534910 0.03502295
#>  [19] 0.63138347 0.71130389 0.71130389 0.89692534 0.34351963 0.96072944
#>  [25] 0.43014919 0.27194469 0.39039664 0.58226045 0.69733877 0.74578650
#>  [31] 0.81035774 0.56436824 0.25123184 0.64710643 0.77216772 0.87432613
#>  [37] 0.97078218 0.57338583 0.99517967 0.18850363 0.75255021 0.72518771
#>  [43] 0.49794310 0.99033401 0.81035774 0.43014919 0.49794310 0.90253091
#>  [49] 0.95055871 0.86283937 0.46532911 0.85126555 0.95055871 0.52824376
#>  [55] 0.63138347 0.16219164 0.91887928 0.52824376 0.92955282 0.82240246
#>  [61] 0.97078218 0.83971258 0.61482169 0.68309482 0.80412613 0.91887928
#>  [67] 0.32556309 0.18850363 0.75255021 0.79780190 0.64710643 0.96578194
#>  [73] 0.08448645 0.67591492 0.90807111 0.85705656 0.77216772 0.41742551
#>  [79] 0.64710643 0.82240246 0.94011335 0.37541038 0.68309482 0.40433524
#>  [85] 0.83971258 0.78508149 0.90807111 0.69733877 0.88000308 0.73209511
#>  [91] 0.34351963 0.73209511 0.47633737 0.79146651 0.55533053 0.58226045
#>  [97] 0.08448645 0.62311195 0.08448645 0.75255021 0.88000308 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    32   168   128    40    18    68   158    97  97.1   154    81    16   159 
#> 20.90 23.72 20.35 18.00 15.21 20.62 20.14 19.14 19.14 12.63 14.06  8.71 10.55 
#>    15    69    77    61    24    41    30  30.1   177   136   187    90  69.1 
#> 22.68 23.23  7.27 10.12 23.89 18.02 17.43 17.43 12.53 21.83  9.92 20.94 23.23 
#>   139  97.2   111   106    29    58   164  40.1     5    60  16.1    76   127 
#> 21.49 19.14 17.45 16.67 15.45 19.34 23.60 18.00 16.43 13.15  8.71 19.22  3.53 
#> 168.1   171    45 128.1    25  29.1  90.1 128.2    37   145    57   190   180 
#> 23.72 16.57 17.42 20.35  6.32 15.45 20.94 20.35 12.52 10.07 14.46 20.81 14.82 
#> 145.1 158.1  41.1    86    43 158.2   107  18.1  16.2   157   179   184   167 
#> 10.07 20.14 18.02 23.81 12.10 20.14 11.18 15.21  8.71 15.10 18.63 17.77 15.55 
#>  43.1   175 168.2 171.1   100  40.2   183    78   134    49   133   5.1    99 
#> 12.10 21.91 23.72 16.57 16.07 18.00  9.24 23.88 17.81 12.19 14.65 16.43 21.19 
#>  40.3  18.2    93   197 184.1   153 157.1    79  49.1 111.1    14    23 136.1 
#> 18.00 15.21 10.33 21.60 17.77 21.33 15.10 16.23 12.19 17.45 12.89 16.92 21.83 
#>  23.1  68.1   188   170  97.3  78.1    88  78.2 171.2  14.1   141   102   151 
#> 16.92 20.62 16.16 19.54 19.14 23.88 18.37 23.88 16.57 12.89 24.00 24.00 24.00 
#>   144    28     2    21   161    84    22    82   135   156 135.1   142 161.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    46 151.1   138 135.2   152     9 102.1   116   132    35    65  35.1   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94    11   112 138.1    95   143    27   2.1   178    20 118.1  27.1   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147 144.1   121    33 132.1   131 131.1  95.1   174   104    98  33.1   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185  33.2 121.1    47   122 144.2 143.1    80  82.1   176 193.1    83 121.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 178.1    64   163    34  20.1 102.2 138.2   119   126   160  21.1   196  98.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 163.1  47.1 144.3  11.1 135.3   162 174.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[20]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003422178               0.323525286               0.358228954 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.053153480            -0.005299494             0.720791617 
#>   grade_iii, Cure model 
#>             0.568663619 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 68    20.62      1  44        0         0
#> 24    23.89      1  38        0         0
#> 4     17.64      1  NA        0         1
#> 181   16.46      1  45        0         1
#> 66    22.13      1  53        0         0
#> 40    18.00      1  28        1         0
#> 96    14.54      1  33        0         1
#> 154   12.63      1  20        1         0
#> 100   16.07      1  60        0         0
#> 36    21.19      1  48        0         1
#> 134   17.81      1  47        1         0
#> 170   19.54      1  43        0         1
#> 8     18.43      1  32        0         0
#> 153   21.33      1  55        1         0
#> 108   18.29      1  39        0         1
#> 59    10.16      1  NA        1         0
#> 26    15.77      1  49        0         1
#> 110   17.56      1  65        0         1
#> 114   13.68      1  NA        0         0
#> 81    14.06      1  34        0         0
#> 40.1  18.00      1  28        1         0
#> 23    16.92      1  61        0         0
#> 101    9.97      1  10        0         1
#> 168   23.72      1  70        0         0
#> 15    22.68      1  48        0         0
#> 92    22.92      1  47        0         1
#> 56    12.21      1  60        0         0
#> 167   15.55      1  56        1         0
#> 123   13.00      1  44        1         0
#> 5     16.43      1  51        0         1
#> 92.1  22.92      1  47        0         1
#> 175   21.91      1  43        0         0
#> 150   20.33      1  48        0         0
#> 166   19.98      1  48        0         0
#> 61    10.12      1  36        0         1
#> 6     15.64      1  39        0         0
#> 99    21.19      1  38        0         1
#> 86    23.81      1  58        0         1
#> 187    9.92      1  39        1         0
#> 88    18.37      1  47        0         0
#> 42    12.43      1  49        0         1
#> 97    19.14      1  65        0         1
#> 26.1  15.77      1  49        0         1
#> 49    12.19      1  48        1         0
#> 149    8.37      1  33        1         0
#> 99.1  21.19      1  38        0         1
#> 16     8.71      1  71        0         1
#> 58    19.34      1  39        0         0
#> 108.1 18.29      1  39        0         1
#> 129   23.41      1  53        1         0
#> 25     6.32      1  34        1         0
#> 107   11.18      1  54        1         0
#> 49.1  12.19      1  48        1         0
#> 168.1 23.72      1  70        0         0
#> 57    14.46      1  45        0         1
#> 117   17.46      1  26        0         1
#> 194   22.40      1  38        0         1
#> 93    10.33      1  52        0         1
#> 194.1 22.40      1  38        0         1
#> 181.1 16.46      1  45        0         1
#> 79    16.23      1  54        1         0
#> 129.1 23.41      1  53        1         0
#> 195   11.76      1  NA        1         0
#> 76    19.22      1  54        0         1
#> 159   10.55      1  50        0         1
#> 10    10.53      1  34        0         0
#> 154.1 12.63      1  20        1         0
#> 81.1  14.06      1  34        0         0
#> 134.1 17.81      1  47        1         0
#> 100.1 16.07      1  60        0         0
#> 30    17.43      1  78        0         0
#> 159.1 10.55      1  50        0         1
#> 123.1 13.00      1  44        1         0
#> 68.1  20.62      1  44        0         0
#> 43    12.10      1  61        0         1
#> 36.1  21.19      1  48        0         1
#> 128   20.35      1  35        0         1
#> 63    22.77      1  31        1         0
#> 180   14.82      1  37        0         0
#> 96.1  14.54      1  33        0         1
#> 90    20.94      1  50        0         1
#> 129.2 23.41      1  53        1         0
#> 32    20.90      1  37        1         0
#> 93.1  10.33      1  52        0         1
#> 158   20.14      1  74        1         0
#> 58.1  19.34      1  39        0         0
#> 88.1  18.37      1  47        0         0
#> 26.2  15.77      1  49        0         1
#> 41    18.02      1  40        1         0
#> 88.2  18.37      1  47        0         0
#> 110.1 17.56      1  65        0         1
#> 190   20.81      1  42        1         0
#> 16.1   8.71      1  71        0         1
#> 133   14.65      1  57        0         0
#> 189   10.51      1  NA        1         0
#> 49.2  12.19      1  48        1         0
#> 188   16.16      1  46        0         1
#> 97.1  19.14      1  65        0         1
#> 140   12.68      1  59        1         0
#> 63.1  22.77      1  31        1         0
#> 68.2  20.62      1  44        0         0
#> 117.1 17.46      1  26        0         1
#> 91     5.33      1  61        0         1
#> 49.3  12.19      1  48        1         0
#> 32.1  20.90      1  37        1         0
#> 123.2 13.00      1  44        1         0
#> 37    12.52      1  57        1         0
#> 15.1  22.68      1  48        0         0
#> 41.1  18.02      1  40        1         0
#> 99.2  21.19      1  38        0         1
#> 77     7.27      1  67        0         1
#> 32.2  20.90      1  37        1         0
#> 9     24.00      0  31        1         0
#> 148   24.00      0  61        1         0
#> 144   24.00      0  28        0         1
#> 160   24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 178   24.00      0  52        1         0
#> 19    24.00      0  57        0         1
#> 95    24.00      0  68        0         1
#> 143   24.00      0  51        0         0
#> 28    24.00      0  67        1         0
#> 12    24.00      0  63        0         0
#> 173   24.00      0  19        0         1
#> 161   24.00      0  45        0         0
#> 144.1 24.00      0  28        0         1
#> 53    24.00      0  32        0         1
#> 162   24.00      0  51        0         0
#> 165   24.00      0  47        0         0
#> 161.1 24.00      0  45        0         0
#> 21    24.00      0  47        0         0
#> 94    24.00      0  51        0         1
#> 53.1  24.00      0  32        0         1
#> 122   24.00      0  66        0         0
#> 193.1 24.00      0  45        0         1
#> 135   24.00      0  58        1         0
#> 64    24.00      0  43        0         0
#> 142   24.00      0  53        0         0
#> 182   24.00      0  35        0         0
#> 176   24.00      0  43        0         1
#> 198   24.00      0  66        0         1
#> 163   24.00      0  66        0         0
#> 112   24.00      0  61        0         0
#> 7     24.00      0  37        1         0
#> 142.1 24.00      0  53        0         0
#> 115   24.00      0  NA        1         0
#> 131   24.00      0  66        0         0
#> 144.2 24.00      0  28        0         1
#> 173.1 24.00      0  19        0         1
#> 161.2 24.00      0  45        0         0
#> 156   24.00      0  50        1         0
#> 103   24.00      0  56        1         0
#> 162.1 24.00      0  51        0         0
#> 112.1 24.00      0  61        0         0
#> 185   24.00      0  44        1         0
#> 162.2 24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 162.3 24.00      0  51        0         0
#> 172   24.00      0  41        0         0
#> 53.2  24.00      0  32        0         1
#> 198.1 24.00      0  66        0         1
#> 119   24.00      0  17        0         0
#> 152   24.00      0  36        0         1
#> 200   24.00      0  64        0         0
#> 46    24.00      0  71        0         0
#> 22    24.00      0  52        1         0
#> 193.2 24.00      0  45        0         1
#> 173.2 24.00      0  19        0         1
#> 146   24.00      0  63        1         0
#> 53.3  24.00      0  32        0         1
#> 182.1 24.00      0  35        0         0
#> 73    24.00      0  NA        0         1
#> 46.1  24.00      0  71        0         0
#> 74    24.00      0  43        0         1
#> 46.2  24.00      0  71        0         0
#> 131.1 24.00      0  66        0         0
#> 9.1   24.00      0  31        1         0
#> 65    24.00      0  57        1         0
#> 116   24.00      0  58        0         1
#> 17.1  24.00      0  38        0         1
#> 71    24.00      0  51        0         0
#> 198.2 24.00      0  66        0         1
#> 191   24.00      0  60        0         1
#> 28.1  24.00      0  67        1         0
#> 174   24.00      0  49        1         0
#> 141   24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 142.2 24.00      0  53        0         0
#> 196   24.00      0  19        0         0
#> 152.1 24.00      0  36        0         1
#> 151   24.00      0  42        0         0
#> 47    24.00      0  38        0         1
#> 46.3  24.00      0  71        0         0
#> 132   24.00      0  55        0         0
#> 132.1 24.00      0  55        0         0
#> 54    24.00      0  53        1         0
#> 38    24.00      0  31        1         0
#> 152.2 24.00      0  36        0         1
#> 46.4  24.00      0  71        0         0
#> 121   24.00      0  57        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.0532         NA        NA      NA
#> 2 age, Cure model         -0.00530        NA        NA      NA
#> 3 grade_ii, Cure model     0.721          NA        NA      NA
#> 4 grade_iii, Cure model    0.569          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00342        NA        NA      NA
#> 2 grade_ii, Survival model   0.324          NA        NA      NA
#> 3 grade_iii, Survival model  0.358          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.053153         -0.005299          0.720792          0.568664  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.3 
#> Residual Deviance: 260.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.053153480     -0.005299494      0.720791617      0.568663619 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003422178      0.323525286      0.358228954 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.298534638 0.006800756 0.584189111 0.174966639 0.494019197 0.708319745
#>   [7] 0.787017745 0.628789075 0.206757657 0.512222555 0.363925743 0.419962215
#>  [13] 0.196188250 0.457119641 0.646558833 0.530312419 0.734688716 0.494019197
#>  [19] 0.575147696 0.932595405 0.034584807 0.133659961 0.091709414 0.821676406
#>  [25] 0.681683451 0.752247675 0.602008054 0.091709414 0.185535855 0.335575419
#>  [31] 0.354456446 0.924084763 0.672804118 0.206757657 0.021240524 0.941076432
#>  [37] 0.429337737 0.813009234 0.401462846 0.646558833 0.830360581 0.966359684
#>  [43] 0.206757657 0.949541491 0.373337506 0.457119641 0.060045590 0.983207142
#>  [49] 0.872917732 0.830360581 0.034584807 0.725879418 0.548313047 0.154664064
#>  [55] 0.907100610 0.154664064 0.584189111 0.610957542 0.060045590 0.392040266
#>  [61] 0.881507902 0.898536585 0.787017745 0.734688716 0.512222555 0.628789075
#>  [67] 0.566132983 0.881507902 0.752247675 0.298534638 0.864314965 0.206757657
#>  [73] 0.326165665 0.113149638 0.690546511 0.708319745 0.252025731 0.060045590
#>  [79] 0.261732652 0.907100610 0.345025328 0.373337506 0.429337737 0.646558833
#>  [85] 0.475642786 0.429337737 0.530312419 0.289150556 0.949541491 0.699423123
#>  [91] 0.830360581 0.619887566 0.401462846 0.778260963 0.113149638 0.298534638
#>  [97] 0.548313047 0.991609302 0.830360581 0.261732652 0.752247675 0.804322625
#> [103] 0.133659961 0.475642786 0.206757657 0.974788422 0.261732652 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000
#> 
#> $Time
#>    68    24   181    66    40    96   154   100    36   134   170     8   153 
#> 20.62 23.89 16.46 22.13 18.00 14.54 12.63 16.07 21.19 17.81 19.54 18.43 21.33 
#>   108    26   110    81  40.1    23   101   168    15    92    56   167   123 
#> 18.29 15.77 17.56 14.06 18.00 16.92  9.97 23.72 22.68 22.92 12.21 15.55 13.00 
#>     5  92.1   175   150   166    61     6    99    86   187    88    42    97 
#> 16.43 22.92 21.91 20.33 19.98 10.12 15.64 21.19 23.81  9.92 18.37 12.43 19.14 
#>  26.1    49   149  99.1    16    58 108.1   129    25   107  49.1 168.1    57 
#> 15.77 12.19  8.37 21.19  8.71 19.34 18.29 23.41  6.32 11.18 12.19 23.72 14.46 
#>   117   194    93 194.1 181.1    79 129.1    76   159    10 154.1  81.1 134.1 
#> 17.46 22.40 10.33 22.40 16.46 16.23 23.41 19.22 10.55 10.53 12.63 14.06 17.81 
#> 100.1    30 159.1 123.1  68.1    43  36.1   128    63   180  96.1    90 129.2 
#> 16.07 17.43 10.55 13.00 20.62 12.10 21.19 20.35 22.77 14.82 14.54 20.94 23.41 
#>    32  93.1   158  58.1  88.1  26.2    41  88.2 110.1   190  16.1   133  49.2 
#> 20.90 10.33 20.14 19.34 18.37 15.77 18.02 18.37 17.56 20.81  8.71 14.65 12.19 
#>   188  97.1   140  63.1  68.2 117.1    91  49.3  32.1 123.2    37  15.1  41.1 
#> 16.16 19.14 12.68 22.77 20.62 17.46  5.33 12.19 20.90 13.00 12.52 22.68 18.02 
#>  99.2    77  32.2     9   148   144   160   193   178    19    95   143    28 
#> 21.19  7.27 20.90 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12   173   161 144.1    53   162   165 161.1    21    94  53.1   122 193.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135    64   142   182   176   198   163   112     7 142.1   131 144.2 173.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 161.2   156   103 162.1 112.1   185 162.2    17 162.3   172  53.2 198.1   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152   200    46    22 193.2 173.2   146  53.3 182.1  46.1    74  46.2 131.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.1    65   116  17.1    71 198.2   191  28.1   174   141    84 142.2   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 152.1   151    47  46.3   132 132.1    54    38 152.2  46.4   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[21]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0008956884              0.5529223532              0.1669781861 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.548946427             0.008775645             0.083160741 
#>   grade_iii, Cure model 
#>             0.853719460 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 60    13.15      1  38        1         0
#> 70     7.38      1  30        1         0
#> 15    22.68      1  48        0         0
#> 164   23.60      1  76        0         1
#> 45    17.42      1  54        0         1
#> 4     17.64      1  NA        0         1
#> 18    15.21      1  49        1         0
#> 43    12.10      1  61        0         1
#> 158   20.14      1  74        1         0
#> 136   21.83      1  43        0         1
#> 189   10.51      1  NA        1         0
#> 77     7.27      1  67        0         1
#> 117   17.46      1  26        0         1
#> 108   18.29      1  39        0         1
#> 100   16.07      1  60        0         0
#> 8     18.43      1  32        0         0
#> 50    10.02      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 58    19.34      1  39        0         0
#> 106   16.67      1  49        1         0
#> 66    22.13      1  53        0         0
#> 153   21.33      1  55        1         0
#> 124    9.73      1  NA        1         0
#> 55    19.34      1  69        0         1
#> 114   13.68      1  NA        0         0
#> 42    12.43      1  49        0         1
#> 32    20.90      1  37        1         0
#> 13    14.34      1  54        0         1
#> 85    16.44      1  36        0         0
#> 180   14.82      1  37        0         0
#> 8.1   18.43      1  32        0         0
#> 32.1  20.90      1  37        1         0
#> 167   15.55      1  56        1         0
#> 157   15.10      1  47        0         0
#> 179   18.63      1  42        0         0
#> 107   11.18      1  54        1         0
#> 164.1 23.60      1  76        0         1
#> 167.1 15.55      1  56        1         0
#> 51    18.23      1  83        0         1
#> 177.1 12.53      1  75        0         0
#> 42.1  12.43      1  49        0         1
#> 113   22.86      1  34        0         0
#> 23    16.92      1  61        0         0
#> 18.1  15.21      1  49        1         0
#> 78    23.88      1  43        0         0
#> 170   19.54      1  43        0         1
#> 192   16.44      1  31        1         0
#> 133   14.65      1  57        0         0
#> 110   17.56      1  65        0         1
#> 16     8.71      1  71        0         1
#> 81    14.06      1  34        0         0
#> 187    9.92      1  39        1         0
#> 50.1  10.02      1  NA        1         0
#> 50.2  10.02      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 60.1  13.15      1  38        1         0
#> 129   23.41      1  53        1         0
#> 106.1 16.67      1  49        1         0
#> 194   22.40      1  38        0         1
#> 111   17.45      1  47        0         1
#> 175   21.91      1  43        0         0
#> 89    11.44      1  NA        0         0
#> 101    9.97      1  10        0         1
#> 128   20.35      1  35        0         1
#> 58.1  19.34      1  39        0         0
#> 114.1 13.68      1  NA        0         0
#> 37    12.52      1  57        1         0
#> 96    14.54      1  33        0         1
#> 8.2   18.43      1  32        0         0
#> 128.1 20.35      1  35        0         1
#> 167.2 15.55      1  56        1         0
#> 157.1 15.10      1  47        0         0
#> 55.1  19.34      1  69        0         1
#> 89.1  11.44      1  NA        0         0
#> 105   19.75      1  60        0         0
#> 63    22.77      1  31        1         0
#> 140   12.68      1  59        1         0
#> 89.2  11.44      1  NA        0         0
#> 179.1 18.63      1  42        0         0
#> 90    20.94      1  50        0         1
#> 50.3  10.02      1  NA        1         0
#> 179.2 18.63      1  42        0         0
#> 18.2  15.21      1  49        1         0
#> 90.1  20.94      1  50        0         1
#> 68    20.62      1  44        0         0
#> 158.1 20.14      1  74        1         0
#> 69.1  23.23      1  25        0         1
#> 36    21.19      1  48        0         1
#> 15.1  22.68      1  48        0         0
#> 188   16.16      1  46        0         1
#> 16.1   8.71      1  71        0         1
#> 124.1  9.73      1  NA        1         0
#> 100.1 16.07      1  60        0         0
#> 29    15.45      1  68        1         0
#> 70.1   7.38      1  30        1         0
#> 133.1 14.65      1  57        0         0
#> 107.1 11.18      1  54        1         0
#> 51.1  18.23      1  83        0         1
#> 43.1  12.10      1  61        0         1
#> 105.1 19.75      1  60        0         0
#> 68.1  20.62      1  44        0         0
#> 159   10.55      1  50        0         1
#> 70.2   7.38      1  30        1         0
#> 168   23.72      1  70        0         0
#> 175.1 21.91      1  43        0         0
#> 170.1 19.54      1  43        0         1
#> 133.2 14.65      1  57        0         0
#> 55.2  19.34      1  69        0         1
#> 29.1  15.45      1  68        1         0
#> 123   13.00      1  44        1         0
#> 197   21.60      1  69        1         0
#> 181   16.46      1  45        0         1
#> 109   24.00      0  48        0         0
#> 67    24.00      0  25        0         0
#> 98    24.00      0  34        1         0
#> 148   24.00      0  61        1         0
#> 94    24.00      0  51        0         1
#> 118   24.00      0  44        1         0
#> 151   24.00      0  42        0         0
#> 47    24.00      0  38        0         1
#> 75    24.00      0  21        1         0
#> 22    24.00      0  52        1         0
#> 98.1  24.00      0  34        1         0
#> 21    24.00      0  47        0         0
#> 19    24.00      0  57        0         1
#> 64    24.00      0  43        0         0
#> 119   24.00      0  17        0         0
#> 137   24.00      0  45        1         0
#> 94.1  24.00      0  51        0         1
#> 47.1  24.00      0  38        0         1
#> 156   24.00      0  50        1         0
#> 191   24.00      0  60        0         1
#> 151.1 24.00      0  42        0         0
#> 120   24.00      0  68        0         1
#> 135   24.00      0  58        1         0
#> 186   24.00      0  45        1         0
#> 46    24.00      0  71        0         0
#> 182   24.00      0  35        0         0
#> 109.1 24.00      0  48        0         0
#> 121   24.00      0  57        1         0
#> 151.2 24.00      0  42        0         0
#> 62    24.00      0  71        0         0
#> 54    24.00      0  53        1         0
#> 74    24.00      0  43        0         1
#> 64.1  24.00      0  43        0         0
#> 196   24.00      0  19        0         0
#> 148.1 24.00      0  61        1         0
#> 11    24.00      0  42        0         1
#> 20    24.00      0  46        1         0
#> 82    24.00      0  34        0         0
#> 46.1  24.00      0  71        0         0
#> 2     24.00      0   9        0         0
#> 172   24.00      0  41        0         0
#> 102   24.00      0  49        0         0
#> 146   24.00      0  63        1         0
#> 172.1 24.00      0  41        0         0
#> 147   24.00      0  76        1         0
#> 31    24.00      0  36        0         1
#> 161   24.00      0  45        0         0
#> 186.1 24.00      0  45        1         0
#> 62.1  24.00      0  71        0         0
#> 162   24.00      0  51        0         0
#> 137.1 24.00      0  45        1         0
#> 193   24.00      0  45        0         1
#> 198   24.00      0  66        0         1
#> 44    24.00      0  56        0         0
#> 74.1  24.00      0  43        0         1
#> 141   24.00      0  44        1         0
#> 2.1   24.00      0   9        0         0
#> 98.2  24.00      0  34        1         0
#> 147.1 24.00      0  76        1         0
#> 160   24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 65    24.00      0  57        1         0
#> 132   24.00      0  55        0         0
#> 198.1 24.00      0  66        0         1
#> 46.2  24.00      0  71        0         0
#> 28    24.00      0  67        1         0
#> 196.1 24.00      0  19        0         0
#> 73    24.00      0  NA        0         1
#> 165   24.00      0  47        0         0
#> 65.1  24.00      0  57        1         0
#> 131   24.00      0  66        0         0
#> 165.1 24.00      0  47        0         0
#> 198.2 24.00      0  66        0         1
#> 126   24.00      0  48        0         0
#> 121.1 24.00      0  57        1         0
#> 64.2  24.00      0  43        0         0
#> 143   24.00      0  51        0         0
#> 148.2 24.00      0  61        1         0
#> 176   24.00      0  43        0         1
#> 131.1 24.00      0  66        0         0
#> 1     24.00      0  23        1         0
#> 38    24.00      0  31        1         0
#> 73.1  24.00      0  NA        0         1
#> 34    24.00      0  36        0         0
#> 165.2 24.00      0  47        0         0
#> 34.1  24.00      0  36        0         0
#> 72    24.00      0  40        0         1
#> 174.1 24.00      0  49        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.549          NA        NA      NA
#> 2 age, Cure model          0.00878        NA        NA      NA
#> 3 grade_ii, Cure model     0.0832         NA        NA      NA
#> 4 grade_iii, Cure model    0.854          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000896        NA        NA      NA
#> 2 grade_ii, Survival model   0.553           NA        NA      NA
#> 3 grade_iii, Survival model  0.167           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.548946          0.008776          0.083161          0.853719  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    255.6 
#> Residual Deviance: 248.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.548946427      0.008775645      0.083160741      0.853719460 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0008956884     0.5529223532     0.1669781861 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.81507840 0.96755870 0.13942410 0.04588845 0.56883262 0.70962905
#>   [7] 0.89226977 0.34332925 0.21182840 0.99184512 0.54912688 0.50963863
#>  [13] 0.64546724 0.48027937 0.84964274 0.40330324 0.58848135 0.17557091
#>  [19] 0.23588438 0.40330324 0.87530500 0.28072260 0.79740533 0.61714821
#>  [25] 0.75341920 0.48027937 0.28072260 0.66430548 0.73582954 0.45097127
#>  [31] 0.90919630 0.04588845 0.66430548 0.51959173 0.84964274 0.87530500
#>  [37] 0.11373630 0.57865255 0.70962905 0.00959298 0.38338761 0.61714821
#>  [43] 0.76226936 0.53923501 0.95101054 0.80624041 0.94268430 0.08879261
#>  [49] 0.81507840 0.07465714 0.58848135 0.16329581 0.55899130 0.18788627
#>  [55] 0.93430785 0.32257169 0.40330324 0.86675931 0.78855791 0.48027937
#>  [61] 0.32257169 0.66430548 0.73582954 0.40330324 0.36332941 0.12702723
#>  [67] 0.84105222 0.45097127 0.25871083 0.45097127 0.70962905 0.25871083
#>  [73] 0.30161882 0.34332925 0.08879261 0.24733231 0.13942410 0.63599296
#>  [79] 0.95101054 0.64546724 0.69160853 0.96755870 0.76226936 0.90919630
#>  [85] 0.51959173 0.89226977 0.36332941 0.30161882 0.92591853 0.96755870
#>  [91] 0.02712071 0.18788627 0.38338761 0.76226936 0.40330324 0.69160853
#>  [97] 0.83240439 0.22406093 0.60755555 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    60    70    15   164    45    18    43   158   136    77   117   108   100 
#> 13.15  7.38 22.68 23.60 17.42 15.21 12.10 20.14 21.83  7.27 17.46 18.29 16.07 
#>     8   177    58   106    66   153    55    42    32    13    85   180   8.1 
#> 18.43 12.53 19.34 16.67 22.13 21.33 19.34 12.43 20.90 14.34 16.44 14.82 18.43 
#>  32.1   167   157   179   107 164.1 167.1    51 177.1  42.1   113    23  18.1 
#> 20.90 15.55 15.10 18.63 11.18 23.60 15.55 18.23 12.53 12.43 22.86 16.92 15.21 
#>    78   170   192   133   110    16    81   187    69  60.1   129 106.1   194 
#> 23.88 19.54 16.44 14.65 17.56  8.71 14.06  9.92 23.23 13.15 23.41 16.67 22.40 
#>   111   175   101   128  58.1    37    96   8.2 128.1 167.2 157.1  55.1   105 
#> 17.45 21.91  9.97 20.35 19.34 12.52 14.54 18.43 20.35 15.55 15.10 19.34 19.75 
#>    63   140 179.1    90 179.2  18.2  90.1    68 158.1  69.1    36  15.1   188 
#> 22.77 12.68 18.63 20.94 18.63 15.21 20.94 20.62 20.14 23.23 21.19 22.68 16.16 
#>  16.1 100.1    29  70.1 133.1 107.1  51.1  43.1 105.1  68.1   159  70.2   168 
#>  8.71 16.07 15.45  7.38 14.65 11.18 18.23 12.10 19.75 20.62 10.55  7.38 23.72 
#> 175.1 170.1 133.2  55.2  29.1   123   197   181   109    67    98   148    94 
#> 21.91 19.54 14.65 19.34 15.45 13.00 21.60 16.46 24.00 24.00 24.00 24.00 24.00 
#>   118   151    47    75    22  98.1    21    19    64   119   137  94.1  47.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156   191 151.1   120   135   186    46   182 109.1   121 151.2    62    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    74  64.1   196 148.1    11    20    82  46.1     2   172   102   146 172.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147    31   161 186.1  62.1   162 137.1   193   198    44  74.1   141   2.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.2 147.1   160   174    65   132 198.1  46.2    28 196.1   165  65.1   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 165.1 198.2   126 121.1  64.2   143 148.2   176 131.1     1    38    34 165.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  34.1    72 174.1 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[22]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              0.0007739037              0.6671660154              0.6652882444 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.083040526            -0.001858535             0.001223623 
#>   grade_iii, Cure model 
#>             0.502546880 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 183    9.24      1  67        1         0
#> 50    10.02      1  NA        1         0
#> 117   17.46      1  26        0         1
#> 59    10.16      1  NA        1         0
#> 96    14.54      1  33        0         1
#> 25     6.32      1  34        1         0
#> 136   21.83      1  43        0         1
#> 56    12.21      1  60        0         0
#> 6     15.64      1  39        0         0
#> 52    10.42      1  52        0         1
#> 170   19.54      1  43        0         1
#> 190   20.81      1  42        1         0
#> 77     7.27      1  67        0         1
#> 184   17.77      1  38        0         0
#> 30    17.43      1  78        0         0
#> 171   16.57      1  41        0         1
#> 52.1  10.42      1  52        0         1
#> 150   20.33      1  48        0         0
#> 180   14.82      1  37        0         0
#> 190.1 20.81      1  42        1         0
#> 26    15.77      1  49        0         1
#> 184.1 17.77      1  38        0         0
#> 8     18.43      1  32        0         0
#> 45    17.42      1  54        0         1
#> 49    12.19      1  48        1         0
#> 42    12.43      1  49        0         1
#> 42.1  12.43      1  49        0         1
#> 59.1  10.16      1  NA        1         0
#> 90    20.94      1  50        0         1
#> 106   16.67      1  49        1         0
#> 166   19.98      1  48        0         0
#> 32    20.90      1  37        1         0
#> 192   16.44      1  31        1         0
#> 50.1  10.02      1  NA        1         0
#> 184.2 17.77      1  38        0         0
#> 170.1 19.54      1  43        0         1
#> 59.2  10.16      1  NA        1         0
#> 92    22.92      1  47        0         1
#> 41    18.02      1  40        1         0
#> 5     16.43      1  51        0         1
#> 70     7.38      1  30        1         0
#> 130   16.47      1  53        0         1
#> 181   16.46      1  45        0         1
#> 50.2  10.02      1  NA        1         0
#> 107   11.18      1  54        1         0
#> 192.1 16.44      1  31        1         0
#> 189   10.51      1  NA        1         0
#> 179   18.63      1  42        0         0
#> 36    21.19      1  48        0         1
#> 181.1 16.46      1  45        0         1
#> 153   21.33      1  55        1         0
#> 76    19.22      1  54        0         1
#> 32.1  20.90      1  37        1         0
#> 16     8.71      1  71        0         1
#> 26.1  15.77      1  49        0         1
#> 110   17.56      1  65        0         1
#> 55    19.34      1  69        0         1
#> 155   13.08      1  26        0         0
#> 169   22.41      1  46        0         0
#> 23    16.92      1  61        0         0
#> 192.2 16.44      1  31        1         0
#> 15    22.68      1  48        0         0
#> 85    16.44      1  36        0         0
#> 15.1  22.68      1  48        0         0
#> 106.1 16.67      1  49        1         0
#> 24    23.89      1  38        0         0
#> 70.1   7.38      1  30        1         0
#> 145   10.07      1  65        1         0
#> 76.1  19.22      1  54        0         1
#> 88    18.37      1  47        0         0
#> 199   19.81      1  NA        0         1
#> 177   12.53      1  75        0         0
#> 81    14.06      1  34        0         0
#> 179.1 18.63      1  42        0         0
#> 77.1   7.27      1  67        0         1
#> 199.1 19.81      1  NA        0         1
#> 111   17.45      1  47        0         1
#> 124    9.73      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 61    10.12      1  36        0         1
#> 88.1  18.37      1  47        0         0
#> 88.2  18.37      1  47        0         0
#> 59.3  10.16      1  NA        1         0
#> 37    12.52      1  57        1         0
#> 30.1  17.43      1  78        0         0
#> 85.1  16.44      1  36        0         0
#> 85.2  16.44      1  36        0         0
#> 168   23.72      1  70        0         0
#> 167   15.55      1  56        1         0
#> 45.1  17.42      1  54        0         1
#> 105   19.75      1  60        0         0
#> 16.1   8.71      1  71        0         1
#> 59.4  10.16      1  NA        1         0
#> 55.1  19.34      1  69        0         1
#> 40    18.00      1  28        1         0
#> 190.2 20.81      1  42        1         0
#> 78.1  23.88      1  43        0         0
#> 43    12.10      1  61        0         1
#> 108   18.29      1  39        0         1
#> 10    10.53      1  34        0         0
#> 61.1  10.12      1  36        0         1
#> 88.3  18.37      1  47        0         0
#> 187    9.92      1  39        1         0
#> 41.1  18.02      1  40        1         0
#> 129   23.41      1  53        1         0
#> 149    8.37      1  33        1         0
#> 25.1   6.32      1  34        1         0
#> 58    19.34      1  39        0         0
#> 61.2  10.12      1  36        0         1
#> 78.2  23.88      1  43        0         0
#> 149.1  8.37      1  33        1         0
#> 58.1  19.34      1  39        0         0
#> 156   24.00      0  50        1         0
#> 95    24.00      0  68        0         1
#> 178   24.00      0  52        1         0
#> 80    24.00      0  41        0         0
#> 137   24.00      0  45        1         0
#> 172   24.00      0  41        0         0
#> 19    24.00      0  57        0         1
#> 82    24.00      0  34        0         0
#> 28    24.00      0  67        1         0
#> 119   24.00      0  17        0         0
#> 19.1  24.00      0  57        0         1
#> 200   24.00      0  64        0         0
#> 161   24.00      0  45        0         0
#> 12    24.00      0  63        0         0
#> 174   24.00      0  49        1         0
#> 191   24.00      0  60        0         1
#> 165   24.00      0  47        0         0
#> 119.1 24.00      0  17        0         0
#> 21    24.00      0  47        0         0
#> 71    24.00      0  51        0         0
#> 174.1 24.00      0  49        1         0
#> 147   24.00      0  76        1         0
#> 34    24.00      0  36        0         0
#> 47    24.00      0  38        0         1
#> 74    24.00      0  43        0         1
#> 54    24.00      0  53        1         0
#> 33    24.00      0  53        0         0
#> 38    24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 27    24.00      0  63        1         0
#> 53    24.00      0  32        0         1
#> 142   24.00      0  53        0         0
#> 65    24.00      0  57        1         0
#> 74.1  24.00      0  43        0         1
#> 73    24.00      0  NA        0         1
#> 1     24.00      0  23        1         0
#> 3     24.00      0  31        1         0
#> 144   24.00      0  28        0         1
#> 84    24.00      0  39        0         1
#> 84.1  24.00      0  39        0         1
#> 74.2  24.00      0  43        0         1
#> 80.1  24.00      0  41        0         0
#> 185   24.00      0  44        1         0
#> 200.1 24.00      0  64        0         0
#> 94    24.00      0  51        0         1
#> 185.1 24.00      0  44        1         0
#> 64    24.00      0  43        0         0
#> 109   24.00      0  48        0         0
#> 185.2 24.00      0  44        1         0
#> 200.2 24.00      0  64        0         0
#> 196   24.00      0  19        0         0
#> 131   24.00      0  66        0         0
#> 143   24.00      0  51        0         0
#> 185.3 24.00      0  44        1         0
#> 65.1  24.00      0  57        1         0
#> 31    24.00      0  36        0         1
#> 141   24.00      0  44        1         0
#> 67    24.00      0  25        0         0
#> 38.1  24.00      0  31        1         0
#> 162   24.00      0  51        0         0
#> 31.1  24.00      0  36        0         1
#> 185.4 24.00      0  44        1         0
#> 131.1 24.00      0  66        0         0
#> 73.1  24.00      0  NA        0         1
#> 161.1 24.00      0  45        0         0
#> 191.1 24.00      0  60        0         1
#> 198   24.00      0  66        0         1
#> 83    24.00      0   6        0         0
#> 109.1 24.00      0  48        0         0
#> 198.1 24.00      0  66        0         1
#> 186   24.00      0  45        1         0
#> 67.1  24.00      0  25        0         0
#> 163   24.00      0  66        0         0
#> 109.2 24.00      0  48        0         0
#> 103   24.00      0  56        1         0
#> 2     24.00      0   9        0         0
#> 147.1 24.00      0  76        1         0
#> 116   24.00      0  58        0         1
#> 172.1 24.00      0  41        0         0
#> 156.1 24.00      0  50        1         0
#> 11    24.00      0  42        0         1
#> 143.1 24.00      0  51        0         0
#> 174.2 24.00      0  49        1         0
#> 143.2 24.00      0  51        0         0
#> 116.1 24.00      0  58        0         1
#> 198.2 24.00      0  66        0         1
#> 196.1 24.00      0  19        0         0
#> 185.5 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.0830         NA        NA      NA
#> 2 age, Cure model         -0.00186        NA        NA      NA
#> 3 grade_ii, Cure model     0.00122        NA        NA      NA
#> 4 grade_iii, Cure model    0.503          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.000774        NA        NA      NA
#> 2 grade_ii, Survival model  0.667           NA        NA      NA
#> 3 grade_iii, Survival model 0.665           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.083041         -0.001859          0.001224          0.502547  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.8 
#> Residual Deviance: 254.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.083040526     -0.001858535      0.001223623      0.502546880 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     0.0007739037     0.6671660154     0.6652882444 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.93237070 0.60832982 0.80287019 0.98806066 0.23501719 0.85239525
#>   [7] 0.78115866 0.88666703 0.38995661 0.32227742 0.97597519 0.57291623
#>  [13] 0.62565606 0.68384482 0.88666703 0.35561001 0.79565727 0.32227742
#>  [19] 0.76665484 0.57291623 0.48902010 0.64271141 0.85935150 0.83853417
#>  [25] 0.83853417 0.28277191 0.66766293 0.36707335 0.29695646 0.71528787
#>  [31] 0.57291623 0.38995661 0.16296572 0.54575205 0.75922421 0.96373074
#>  [37] 0.69188774 0.69983582 0.87309316 0.71528787 0.46981256 0.26782140
#>  [43] 0.69983582 0.25196999 0.45057916 0.29695646 0.93876483 0.76665484
#>  [49] 0.59947988 0.41124545 0.81716649 0.21673234 0.65931388 0.71528787
#>  [55] 0.18160433 0.71528787 0.18160433 0.66766293 0.02143494 0.96373074
#>  [61] 0.91944396 0.45057916 0.49871525 0.82431253 0.81001918 0.46981256
#>  [67] 0.97597519 0.61705479 0.05660188 0.89997951 0.49871525 0.49871525
#>  [73] 0.83145487 0.62565606 0.71528787 0.71528787 0.11700254 0.78844246
#>  [79] 0.64271141 0.37852318 0.93876483 0.41124545 0.56390861 0.32227742
#>  [85] 0.05660188 0.86625064 0.53627592 0.87988079 0.89997951 0.49871525
#>  [91] 0.92593008 0.54575205 0.14188039 0.95132961 0.98806066 0.41124545
#>  [97] 0.89997951 0.05660188 0.95132961 0.41124545 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   183   117    96    25   136    56     6    52   170   190    77   184    30 
#>  9.24 17.46 14.54  6.32 21.83 12.21 15.64 10.42 19.54 20.81  7.27 17.77 17.43 
#>   171  52.1   150   180 190.1    26 184.1     8    45    49    42  42.1    90 
#> 16.57 10.42 20.33 14.82 20.81 15.77 17.77 18.43 17.42 12.19 12.43 12.43 20.94 
#>   106   166    32   192 184.2 170.1    92    41     5    70   130   181   107 
#> 16.67 19.98 20.90 16.44 17.77 19.54 22.92 18.02 16.43  7.38 16.47 16.46 11.18 
#> 192.1   179    36 181.1   153    76  32.1    16  26.1   110    55   155   169 
#> 16.44 18.63 21.19 16.46 21.33 19.22 20.90  8.71 15.77 17.56 19.34 13.08 22.41 
#>    23 192.2    15    85  15.1 106.1    24  70.1   145  76.1    88   177    81 
#> 16.92 16.44 22.68 16.44 22.68 16.67 23.89  7.38 10.07 19.22 18.37 12.53 14.06 
#> 179.1  77.1   111    78    61  88.1  88.2    37  30.1  85.1  85.2   168   167 
#> 18.63  7.27 17.45 23.88 10.12 18.37 18.37 12.52 17.43 16.44 16.44 23.72 15.55 
#>  45.1   105  16.1  55.1    40 190.2  78.1    43   108    10  61.1  88.3   187 
#> 17.42 19.75  8.71 19.34 18.00 20.81 23.88 12.10 18.29 10.53 10.12 18.37  9.92 
#>  41.1   129   149  25.1    58  61.2  78.2 149.1  58.1   156    95   178    80 
#> 18.02 23.41  8.37  6.32 19.34 10.12 23.88  8.37 19.34 24.00 24.00 24.00 24.00 
#>   137   172    19    82    28   119  19.1   200   161    12   174   191   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 119.1    21    71 174.1   147    34    47    74    54    33    38    98    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53   142    65  74.1     1     3   144    84  84.1  74.2  80.1   185 200.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94 185.1    64   109 185.2 200.2   196   131   143 185.3  65.1    31   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67  38.1   162  31.1 185.4 131.1 161.1 191.1   198    83 109.1 198.1   186 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  67.1   163 109.2   103     2 147.1   116 172.1 156.1    11 143.1 174.2 143.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 116.1 198.2 196.1 185.5 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[23]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.005726591               0.404364561               0.280690547 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.256079828             0.001729513             0.293202674 
#>   grade_iii, Cure model 
#>             0.747386004 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 187    9.92      1  39        1         0
#> 60    13.15      1  38        1         0
#> 101    9.97      1  10        0         1
#> 42    12.43      1  49        0         1
#> 70     7.38      1  30        1         0
#> 57    14.46      1  45        0         1
#> 158   20.14      1  74        1         0
#> 37    12.52      1  57        1         0
#> 169   22.41      1  46        0         0
#> 42.1  12.43      1  49        0         1
#> 32    20.90      1  37        1         0
#> 168   23.72      1  70        0         0
#> 169.1 22.41      1  46        0         0
#> 117   17.46      1  26        0         1
#> 192   16.44      1  31        1         0
#> 50    10.02      1  NA        1         0
#> 60.1  13.15      1  38        1         0
#> 158.1 20.14      1  74        1         0
#> 127    3.53      1  62        0         1
#> 170   19.54      1  43        0         1
#> 40    18.00      1  28        1         0
#> 60.2  13.15      1  38        1         0
#> 114   13.68      1  NA        0         0
#> 51    18.23      1  83        0         1
#> 15    22.68      1  48        0         0
#> 59    10.16      1  NA        1         0
#> 184   17.77      1  38        0         0
#> 50.1  10.02      1  NA        1         0
#> 106   16.67      1  49        1         0
#> 167   15.55      1  56        1         0
#> 42.2  12.43      1  49        0         1
#> 194   22.40      1  38        0         1
#> 129   23.41      1  53        1         0
#> 89    11.44      1  NA        0         0
#> 110   17.56      1  65        0         1
#> 37.1  12.52      1  57        1         0
#> 23    16.92      1  61        0         0
#> 106.1 16.67      1  49        1         0
#> 6     15.64      1  39        0         0
#> 68    20.62      1  44        0         0
#> 101.1  9.97      1  10        0         1
#> 42.3  12.43      1  49        0         1
#> 85    16.44      1  36        0         0
#> 56    12.21      1  60        0         0
#> 77     7.27      1  67        0         1
#> 26    15.77      1  49        0         1
#> 92    22.92      1  47        0         1
#> 6.1   15.64      1  39        0         0
#> 113   22.86      1  34        0         0
#> 199   19.81      1  NA        0         1
#> 179   18.63      1  42        0         0
#> 166   19.98      1  48        0         0
#> 111   17.45      1  47        0         1
#> 39    15.59      1  37        0         1
#> 129.1 23.41      1  53        1         0
#> 4     17.64      1  NA        0         1
#> 190   20.81      1  42        1         0
#> 43    12.10      1  61        0         1
#> 187.1  9.92      1  39        1         0
#> 40.1  18.00      1  28        1         0
#> 96    14.54      1  33        0         1
#> 18    15.21      1  49        1         0
#> 166.1 19.98      1  48        0         0
#> 63    22.77      1  31        1         0
#> 133   14.65      1  57        0         0
#> 69    23.23      1  25        0         1
#> 14    12.89      1  21        0         0
#> 36    21.19      1  48        0         1
#> 170.1 19.54      1  43        0         1
#> 69.1  23.23      1  25        0         1
#> 190.1 20.81      1  42        1         0
#> 127.1  3.53      1  62        0         1
#> 6.2   15.64      1  39        0         0
#> 6.3   15.64      1  39        0         0
#> 110.1 17.56      1  65        0         1
#> 114.1 13.68      1  NA        0         0
#> 192.1 16.44      1  31        1         0
#> 154   12.63      1  20        1         0
#> 123   13.00      1  44        1         0
#> 184.1 17.77      1  38        0         0
#> 52    10.42      1  52        0         1
#> 164   23.60      1  76        0         1
#> 110.2 17.56      1  65        0         1
#> 37.2  12.52      1  57        1         0
#> 23.1  16.92      1  61        0         0
#> 133.1 14.65      1  57        0         0
#> 183    9.24      1  67        1         0
#> 45    17.42      1  54        0         1
#> 110.3 17.56      1  65        0         1
#> 37.3  12.52      1  57        1         0
#> 23.2  16.92      1  61        0         0
#> 60.3  13.15      1  38        1         0
#> 170.2 19.54      1  43        0         1
#> 189   10.51      1  NA        1         0
#> 155   13.08      1  26        0         0
#> 16     8.71      1  71        0         1
#> 195   11.76      1  NA        1         0
#> 50.2  10.02      1  NA        1         0
#> 117.1 17.46      1  26        0         1
#> 97    19.14      1  65        0         1
#> 192.2 16.44      1  31        1         0
#> 29    15.45      1  68        1         0
#> 60.4  13.15      1  38        1         0
#> 150   20.33      1  48        0         0
#> 88    18.37      1  47        0         0
#> 61    10.12      1  36        0         1
#> 51.1  18.23      1  83        0         1
#> 60.5  13.15      1  38        1         0
#> 171   16.57      1  41        0         1
#> 123.1 13.00      1  44        1         0
#> 183.1  9.24      1  67        1         0
#> 181   16.46      1  45        0         1
#> 65    24.00      0  57        1         0
#> 34    24.00      0  36        0         0
#> 67    24.00      0  25        0         0
#> 48    24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 46    24.00      0  71        0         0
#> 73    24.00      0  NA        0         1
#> 82    24.00      0  34        0         0
#> 109   24.00      0  48        0         0
#> 198   24.00      0  66        0         1
#> 176   24.00      0  43        0         1
#> 147   24.00      0  76        1         0
#> 46.1  24.00      0  71        0         0
#> 156   24.00      0  50        1         0
#> 109.1 24.00      0  48        0         0
#> 176.1 24.00      0  43        0         1
#> 174   24.00      0  49        1         0
#> 28    24.00      0  67        1         0
#> 1     24.00      0  23        1         0
#> 20    24.00      0  46        1         0
#> 84    24.00      0  39        0         1
#> 118   24.00      0  44        1         0
#> 11    24.00      0  42        0         1
#> 118.1 24.00      0  44        1         0
#> 47    24.00      0  38        0         1
#> 103   24.00      0  56        1         0
#> 12    24.00      0  63        0         0
#> 200   24.00      0  64        0         0
#> 46.2  24.00      0  71        0         0
#> 156.1 24.00      0  50        1         0
#> 120   24.00      0  68        0         1
#> 19    24.00      0  57        0         1
#> 102   24.00      0  49        0         0
#> 178   24.00      0  52        1         0
#> 160   24.00      0  31        1         0
#> 147.1 24.00      0  76        1         0
#> 74    24.00      0  43        0         1
#> 196   24.00      0  19        0         0
#> 19.1  24.00      0  57        0         1
#> 172   24.00      0  41        0         0
#> 121   24.00      0  57        1         0
#> 176.2 24.00      0  43        0         1
#> 22    24.00      0  52        1         0
#> 122   24.00      0  66        0         0
#> 53    24.00      0  32        0         1
#> 144   24.00      0  28        0         1
#> 115   24.00      0  NA        1         0
#> 186   24.00      0  45        1         0
#> 144.1 24.00      0  28        0         1
#> 161   24.00      0  45        0         0
#> 87    24.00      0  27        0         0
#> 142   24.00      0  53        0         0
#> 94    24.00      0  51        0         1
#> 146   24.00      0  63        1         0
#> 64    24.00      0  43        0         0
#> 103.1 24.00      0  56        1         0
#> 121.1 24.00      0  57        1         0
#> 172.1 24.00      0  41        0         0
#> 71    24.00      0  51        0         0
#> 185   24.00      0  44        1         0
#> 156.2 24.00      0  50        1         0
#> 21    24.00      0  47        0         0
#> 112   24.00      0  61        0         0
#> 112.1 24.00      0  61        0         0
#> 2     24.00      0   9        0         0
#> 73.1  24.00      0  NA        0         1
#> 17    24.00      0  38        0         1
#> 186.1 24.00      0  45        1         0
#> 74.1  24.00      0  43        0         1
#> 152   24.00      0  36        0         1
#> 178.1 24.00      0  52        1         0
#> 1.1   24.00      0  23        1         0
#> 33    24.00      0  53        0         0
#> 144.2 24.00      0  28        0         1
#> 116   24.00      0  58        0         1
#> 71.1  24.00      0  51        0         0
#> 151   24.00      0  42        0         0
#> 22.1  24.00      0  52        1         0
#> 148   24.00      0  61        1         0
#> 33.1  24.00      0  53        0         0
#> 34.1  24.00      0  36        0         0
#> 47.1  24.00      0  38        0         1
#> 161.1 24.00      0  45        0         0
#> 1.2   24.00      0  23        1         0
#> 98    24.00      0  34        1         0
#> 72    24.00      0  40        0         1
#> 67.1  24.00      0  25        0         0
#> 7.1   24.00      0  37        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.256          NA        NA      NA
#> 2 age, Cure model          0.00173        NA        NA      NA
#> 3 grade_ii, Cure model     0.293          NA        NA      NA
#> 4 grade_iii, Cure model    0.747          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00573        NA        NA      NA
#> 2 grade_ii, Survival model   0.404          NA        NA      NA
#> 3 grade_iii, Survival model  0.281          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.25608           0.00173           0.29320           0.74739  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.5 
#> Residual Deviance: 252.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.256079828      0.001729513      0.293202674      0.747386004 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.005726591      0.404364561      0.280690547 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.911670404 0.666137939 0.891988343 0.813189363 0.960715847 0.655883819
#>   [7] 0.187311065 0.774209951 0.100314128 0.813189363 0.139445175 0.003046188
#>  [13] 0.100314128 0.383818429 0.495156698 0.666137939 0.187311065 0.980388395
#>  [19] 0.226026849 0.304833785 0.666137939 0.284714184 0.090660248 0.324593545
#>  [25] 0.454351815 0.594646356 0.813189363 0.119515493 0.026103483 0.344591686
#>  [31] 0.774209951 0.424062020 0.454351815 0.544542808 0.167826106 0.891988343
#>  [37] 0.813189363 0.495156698 0.852168970 0.970547243 0.534439261 0.062083153
#>  [43] 0.544542808 0.071551251 0.264571225 0.206450363 0.403812755 0.584423214
#>  [49] 0.026103483 0.149259497 0.862119304 0.911670404 0.304833785 0.645625972
#>  [55] 0.615059424 0.206450363 0.081247948 0.625242407 0.044567312 0.754214308
#>  [61] 0.129482379 0.226026849 0.044567312 0.149259497 0.980388395 0.544542808
#>  [67] 0.544542808 0.344591686 0.495156698 0.764234114 0.734337532 0.324593545
#>  [73] 0.872077263 0.013558333 0.344591686 0.774209951 0.424062020 0.625242407
#>  [79] 0.931268521 0.413933897 0.344591686 0.774209951 0.424062020 0.666137939
#>  [85] 0.226026849 0.724285888 0.950858039 0.383818429 0.254623979 0.495156698
#>  [91] 0.604854185 0.666137939 0.177504281 0.274599107 0.882037150 0.284714184
#>  [97] 0.666137939 0.474656219 0.734337532 0.931268521 0.484908974 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   187    60   101    42    70    57   158    37   169  42.1    32   168 169.1 
#>  9.92 13.15  9.97 12.43  7.38 14.46 20.14 12.52 22.41 12.43 20.90 23.72 22.41 
#>   117   192  60.1 158.1   127   170    40  60.2    51    15   184   106   167 
#> 17.46 16.44 13.15 20.14  3.53 19.54 18.00 13.15 18.23 22.68 17.77 16.67 15.55 
#>  42.2   194   129   110  37.1    23 106.1     6    68 101.1  42.3    85    56 
#> 12.43 22.40 23.41 17.56 12.52 16.92 16.67 15.64 20.62  9.97 12.43 16.44 12.21 
#>    77    26    92   6.1   113   179   166   111    39 129.1   190    43 187.1 
#>  7.27 15.77 22.92 15.64 22.86 18.63 19.98 17.45 15.59 23.41 20.81 12.10  9.92 
#>  40.1    96    18 166.1    63   133    69    14    36 170.1  69.1 190.1 127.1 
#> 18.00 14.54 15.21 19.98 22.77 14.65 23.23 12.89 21.19 19.54 23.23 20.81  3.53 
#>   6.2   6.3 110.1 192.1   154   123 184.1    52   164 110.2  37.2  23.1 133.1 
#> 15.64 15.64 17.56 16.44 12.63 13.00 17.77 10.42 23.60 17.56 12.52 16.92 14.65 
#>   183    45 110.3  37.3  23.2  60.3 170.2   155    16 117.1    97 192.2    29 
#>  9.24 17.42 17.56 12.52 16.92 13.15 19.54 13.08  8.71 17.46 19.14 16.44 15.45 
#>  60.4   150    88    61  51.1  60.5   171 123.1 183.1   181    65    34    67 
#> 13.15 20.33 18.37 10.12 18.23 13.15 16.57 13.00  9.24 16.46 24.00 24.00 24.00 
#>    48     7    46    82   109   198   176   147  46.1   156 109.1 176.1   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28     1    20    84   118    11 118.1    47   103    12   200  46.2 156.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120    19   102   178   160 147.1    74   196  19.1   172   121 176.2    22 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122    53   144   186 144.1   161    87   142    94   146    64 103.1 121.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.1    71   185 156.2    21   112 112.1     2    17 186.1  74.1   152 178.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   1.1    33 144.2   116  71.1   151  22.1   148  33.1  34.1  47.1 161.1   1.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98    72  67.1   7.1 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[24]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.03768737                1.25805603                0.58237856 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.568402264            -0.006271125            -0.636295978 
#>   grade_iii, Cure model 
#>             0.455008270 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 39    15.59      1  37        0         1
#> 171   16.57      1  41        0         1
#> 60    13.15      1  38        1         0
#> 136   21.83      1  43        0         1
#> 42    12.43      1  49        0         1
#> 114   13.68      1  NA        0         0
#> 76    19.22      1  54        0         1
#> 175   21.91      1  43        0         0
#> 175.1 21.91      1  43        0         0
#> 42.1  12.43      1  49        0         1
#> 175.2 21.91      1  43        0         0
#> 90    20.94      1  50        0         1
#> 187    9.92      1  39        1         0
#> 23    16.92      1  61        0         0
#> 187.1  9.92      1  39        1         0
#> 50    10.02      1  NA        1         0
#> 164   23.60      1  76        0         1
#> 158   20.14      1  74        1         0
#> 197   21.60      1  69        1         0
#> 145   10.07      1  65        1         0
#> 127    3.53      1  62        0         1
#> 113   22.86      1  34        0         0
#> 166   19.98      1  48        0         0
#> 101    9.97      1  10        0         1
#> 124    9.73      1  NA        1         0
#> 171.1 16.57      1  41        0         1
#> 149    8.37      1  33        1         0
#> 36    21.19      1  48        0         1
#> 114.1 13.68      1  NA        0         0
#> 154   12.63      1  20        1         0
#> 25     6.32      1  34        1         0
#> 168   23.72      1  70        0         0
#> 36.1  21.19      1  48        0         1
#> 40    18.00      1  28        1         0
#> 85    16.44      1  36        0         0
#> 52    10.42      1  52        0         1
#> 113.1 22.86      1  34        0         0
#> 133   14.65      1  57        0         0
#> 129   23.41      1  53        1         0
#> 108   18.29      1  39        0         1
#> 23.1  16.92      1  61        0         0
#> 81    14.06      1  34        0         0
#> 15    22.68      1  48        0         0
#> 168.1 23.72      1  70        0         0
#> 92    22.92      1  47        0         1
#> 77     7.27      1  67        0         1
#> 108.1 18.29      1  39        0         1
#> 189   10.51      1  NA        1         0
#> 149.1  8.37      1  33        1         0
#> 166.1 19.98      1  48        0         0
#> 184   17.77      1  38        0         0
#> 184.1 17.77      1  38        0         0
#> 23.2  16.92      1  61        0         0
#> 134   17.81      1  47        1         0
#> 6     15.64      1  39        0         0
#> 158.1 20.14      1  74        1         0
#> 155   13.08      1  26        0         0
#> 166.2 19.98      1  48        0         0
#> 6.1   15.64      1  39        0         0
#> 15.1  22.68      1  48        0         0
#> 93    10.33      1  52        0         1
#> 159   10.55      1  50        0         1
#> 133.1 14.65      1  57        0         0
#> 114.2 13.68      1  NA        0         0
#> 155.1 13.08      1  26        0         0
#> 99    21.19      1  38        0         1
#> 60.1  13.15      1  38        1         0
#> 167   15.55      1  56        1         0
#> 169   22.41      1  46        0         0
#> 88    18.37      1  47        0         0
#> 164.1 23.60      1  76        0         1
#> 105   19.75      1  60        0         0
#> 124.1  9.73      1  NA        1         0
#> 187.2  9.92      1  39        1         0
#> 114.3 13.68      1  NA        0         0
#> 66    22.13      1  53        0         0
#> 41    18.02      1  40        1         0
#> 100   16.07      1  60        0         0
#> 101.1  9.97      1  10        0         1
#> 187.3  9.92      1  39        1         0
#> 105.1 19.75      1  60        0         0
#> 58    19.34      1  39        0         0
#> 97    19.14      1  65        0         1
#> 8     18.43      1  32        0         0
#> 197.1 21.60      1  69        1         0
#> 4     17.64      1  NA        0         1
#> 183    9.24      1  67        1         0
#> 76.1  19.22      1  54        0         1
#> 45    17.42      1  54        0         1
#> 4.1   17.64      1  NA        0         1
#> 49    12.19      1  48        1         0
#> 50.1  10.02      1  NA        1         0
#> 58.1  19.34      1  39        0         0
#> 96    14.54      1  33        0         1
#> 51    18.23      1  83        0         1
#> 101.2  9.97      1  10        0         1
#> 66.1  22.13      1  53        0         0
#> 79    16.23      1  54        1         0
#> 15.2  22.68      1  48        0         0
#> 124.2  9.73      1  NA        1         0
#> 167.1 15.55      1  56        1         0
#> 88.1  18.37      1  47        0         0
#> 117   17.46      1  26        0         1
#> 199   19.81      1  NA        0         1
#> 189.1 10.51      1  NA        1         0
#> 66.2  22.13      1  53        0         0
#> 117.1 17.46      1  26        0         1
#> 183.1  9.24      1  67        1         0
#> 187.4  9.92      1  39        1         0
#> 181   16.46      1  45        0         1
#> 18    15.21      1  49        1         0
#> 39.1  15.59      1  37        0         1
#> 121   24.00      0  57        1         0
#> 54    24.00      0  53        1         0
#> 72    24.00      0  40        0         1
#> 19    24.00      0  57        0         1
#> 54.1  24.00      0  53        1         0
#> 67    24.00      0  25        0         0
#> 185   24.00      0  44        1         0
#> 178   24.00      0  52        1         0
#> 28    24.00      0  67        1         0
#> 120   24.00      0  68        0         1
#> 147   24.00      0  76        1         0
#> 95    24.00      0  68        0         1
#> 141   24.00      0  44        1         0
#> 118   24.00      0  44        1         0
#> 115   24.00      0  NA        1         0
#> 73    24.00      0  NA        0         1
#> 2     24.00      0   9        0         0
#> 38    24.00      0  31        1         0
#> 34    24.00      0  36        0         0
#> 9     24.00      0  31        1         0
#> 141.1 24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 109   24.00      0  48        0         0
#> 131   24.00      0  66        0         0
#> 9.1   24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 135   24.00      0  58        1         0
#> 103   24.00      0  56        1         0
#> 54.2  24.00      0  53        1         0
#> 191   24.00      0  60        0         1
#> 196   24.00      0  19        0         0
#> 19.1  24.00      0  57        0         1
#> 84    24.00      0  39        0         1
#> 82    24.00      0  34        0         0
#> 21    24.00      0  47        0         0
#> 21.1  24.00      0  47        0         0
#> 138   24.00      0  44        1         0
#> 53    24.00      0  32        0         1
#> 142   24.00      0  53        0         0
#> 53.1  24.00      0  32        0         1
#> 178.1 24.00      0  52        1         0
#> 3     24.00      0  31        1         0
#> 67.1  24.00      0  25        0         0
#> 200   24.00      0  64        0         0
#> 21.2  24.00      0  47        0         0
#> 141.2 24.00      0  44        1         0
#> 122   24.00      0  66        0         0
#> 35    24.00      0  51        0         0
#> 161   24.00      0  45        0         0
#> 138.1 24.00      0  44        1         0
#> 62    24.00      0  71        0         0
#> 193   24.00      0  45        0         1
#> 87    24.00      0  27        0         0
#> 103.1 24.00      0  56        1         0
#> 35.1  24.00      0  51        0         0
#> 200.1 24.00      0  64        0         0
#> 115.1 24.00      0  NA        1         0
#> 48    24.00      0  31        1         0
#> 3.1   24.00      0  31        1         0
#> 122.1 24.00      0  66        0         0
#> 65    24.00      0  57        1         0
#> 147.1 24.00      0  76        1         0
#> 75    24.00      0  21        1         0
#> 198   24.00      0  66        0         1
#> 131.1 24.00      0  66        0         0
#> 122.2 24.00      0  66        0         0
#> 198.1 24.00      0  66        0         1
#> 98    24.00      0  34        1         0
#> 47    24.00      0  38        0         1
#> 71    24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 137   24.00      0  45        1         0
#> 148.1 24.00      0  61        1         0
#> 34.1  24.00      0  36        0         0
#> 65.1  24.00      0  57        1         0
#> 98.1  24.00      0  34        1         0
#> 198.2 24.00      0  66        0         1
#> 27    24.00      0  63        1         0
#> 121.1 24.00      0  57        1         0
#> 98.2  24.00      0  34        1         0
#> 115.2 24.00      0  NA        1         0
#> 74    24.00      0  43        0         1
#> 62.1  24.00      0  71        0         0
#> 174   24.00      0  49        1         0
#> 1     24.00      0  23        1         0
#> 119   24.00      0  17        0         0
#> 33    24.00      0  53        0         0
#> 121.2 24.00      0  57        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.568          NA        NA      NA
#> 2 age, Cure model         -0.00627        NA        NA      NA
#> 3 grade_ii, Cure model    -0.636          NA        NA      NA
#> 4 grade_iii, Cure model    0.455          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0377        NA        NA      NA
#> 2 grade_ii, Survival model    1.26          NA        NA      NA
#> 3 grade_iii, Survival model   0.582         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.568402         -0.006271         -0.636296          0.455008  
#> 
#> Degrees of Freedom: 181 Total (i.e. Null);  178 Residual
#> Null Deviance:	    251.2 
#> Residual Deviance: 242.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.568402264     -0.006271125     -0.636295978      0.455008270 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.03768737       1.25805603       0.58237856 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 2.412611e-01 1.452317e-01 3.906221e-01 1.165164e-03 4.885244e-01
#>   [6] 2.076348e-02 4.762236e-04 4.762236e-04 4.885244e-01 4.762236e-04
#>  [11] 4.338847e-03 7.117445e-01 1.176280e-01 7.117445e-01 3.115336e-09
#>  [16] 5.201321e-03 1.525949e-03 6.197638e-01 9.739273e-01 8.065864e-06
#>  [21] 7.280080e-03 6.438422e-01 1.452317e-01 8.737933e-01 2.448520e-03
#>  [26] 4.685994e-01 9.484193e-01 2.624835e-15 2.448520e-03 6.768774e-02
#>  [31] 1.771451e-01 5.735449e-01 8.065864e-06 3.180288e-01 9.893466e-07
#>  [36] 4.425733e-02 1.176280e-01 3.715038e-01 2.644244e-05 2.624835e-15
#>  [41] 3.326799e-06 9.229272e-01 4.425733e-02 8.737933e-01 7.280080e-03
#>  [46] 8.046332e-02 8.046332e-02 1.176280e-01 7.396473e-02 2.138836e-01
#>  [51] 5.201321e-03 4.285032e-01 7.280080e-03 2.138836e-01 2.644244e-05
#>  [56] 5.963196e-01 5.514271e-01 3.180288e-01 4.285032e-01 2.448520e-03
#>  [61] 3.906221e-01 2.704842e-01 1.049731e-04 3.485084e-02 3.115336e-09
#>  [66] 1.159990e-02 7.117445e-01 1.605772e-04 6.127764e-02 2.010377e-01
#>  [71] 6.438422e-01 7.117445e-01 1.159990e-02 1.567127e-02 2.703647e-02
#>  [76] 3.077010e-02 1.525949e-03 8.246202e-01 2.076348e-02 1.094799e-01
#>  [81] 5.299367e-01 1.567127e-02 3.530708e-01 5.501268e-02 6.438422e-01
#>  [86] 1.605772e-04 1.888873e-01 2.644244e-05 2.704842e-01 3.485084e-02
#>  [91] 9.460547e-02 1.605772e-04 9.460547e-02 8.246202e-01 7.117445e-01
#>  [96] 1.659537e-01 3.016396e-01 2.412611e-01 0.000000e+00 0.000000e+00
#> [101] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00
#> 
#> $Time
#>    39   171    60   136    42    76   175 175.1  42.1 175.2    90   187    23 
#> 15.59 16.57 13.15 21.83 12.43 19.22 21.91 21.91 12.43 21.91 20.94  9.92 16.92 
#> 187.1   164   158   197   145   127   113   166   101 171.1   149    36   154 
#>  9.92 23.60 20.14 21.60 10.07  3.53 22.86 19.98  9.97 16.57  8.37 21.19 12.63 
#>    25   168  36.1    40    85    52 113.1   133   129   108  23.1    81    15 
#>  6.32 23.72 21.19 18.00 16.44 10.42 22.86 14.65 23.41 18.29 16.92 14.06 22.68 
#> 168.1    92    77 108.1 149.1 166.1   184 184.1  23.2   134     6 158.1   155 
#> 23.72 22.92  7.27 18.29  8.37 19.98 17.77 17.77 16.92 17.81 15.64 20.14 13.08 
#> 166.2   6.1  15.1    93   159 133.1 155.1    99  60.1   167   169    88 164.1 
#> 19.98 15.64 22.68 10.33 10.55 14.65 13.08 21.19 13.15 15.55 22.41 18.37 23.60 
#>   105 187.2    66    41   100 101.1 187.3 105.1    58    97     8 197.1   183 
#> 19.75  9.92 22.13 18.02 16.07  9.97  9.92 19.75 19.34 19.14 18.43 21.60  9.24 
#>  76.1    45    49  58.1    96    51 101.2  66.1    79  15.2 167.1  88.1   117 
#> 19.22 17.42 12.19 19.34 14.54 18.23  9.97 22.13 16.23 22.68 15.55 18.37 17.46 
#>  66.2 117.1 183.1 187.4   181    18  39.1   121    54    72    19  54.1    67 
#> 22.13 17.46  9.24  9.92 16.46 15.21 15.59 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185   178    28   120   147    95   141   118     2    38    34     9 141.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148   109   131   9.1    46   135   103  54.2   191   196  19.1    84    82 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21  21.1   138    53   142  53.1 178.1     3  67.1   200  21.2 141.2   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    35   161 138.1    62   193    87 103.1  35.1 200.1    48   3.1 122.1    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 147.1    75   198 131.1 122.2 198.1    98    47    71    17   137 148.1  34.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.1  98.1 198.2    27 121.1  98.2    74  62.1   174     1   119    33 121.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[25]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01176925                0.83156195                0.45127165 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.91893493              0.02406253             -0.60722984 
#>   grade_iii, Cure model 
#>              0.82626789 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 164   23.60      1  76        0         1
#> 49    12.19      1  48        1         0
#> 58    19.34      1  39        0         0
#> 25     6.32      1  34        1         0
#> 194   22.40      1  38        0         1
#> 177   12.53      1  75        0         0
#> 169   22.41      1  46        0         0
#> 10    10.53      1  34        0         0
#> 175   21.91      1  43        0         0
#> 183    9.24      1  67        1         0
#> 189   10.51      1  NA        1         0
#> 25.1   6.32      1  34        1         0
#> 26    15.77      1  49        0         1
#> 39    15.59      1  37        0         1
#> 97    19.14      1  65        0         1
#> 26.1  15.77      1  49        0         1
#> 127    3.53      1  62        0         1
#> 136   21.83      1  43        0         1
#> 76    19.22      1  54        0         1
#> 42    12.43      1  49        0         1
#> 16     8.71      1  71        0         1
#> 189.1 10.51      1  NA        1         0
#> 199   19.81      1  NA        0         1
#> 150   20.33      1  48        0         0
#> 175.1 21.91      1  43        0         0
#> 187    9.92      1  39        1         0
#> 56    12.21      1  60        0         0
#> 168   23.72      1  70        0         0
#> 117   17.46      1  26        0         1
#> 177.1 12.53      1  75        0         0
#> 175.2 21.91      1  43        0         0
#> 125   15.65      1  67        1         0
#> 78    23.88      1  43        0         0
#> 166   19.98      1  48        0         0
#> 5     16.43      1  51        0         1
#> 159   10.55      1  50        0         1
#> 133   14.65      1  57        0         0
#> 150.1 20.33      1  48        0         0
#> 183.1  9.24      1  67        1         0
#> 180   14.82      1  37        0         0
#> 194.1 22.40      1  38        0         1
#> 8     18.43      1  32        0         0
#> 14    12.89      1  21        0         0
#> 195   11.76      1  NA        1         0
#> 78.1  23.88      1  43        0         0
#> 140   12.68      1  59        1         0
#> 187.1  9.92      1  39        1         0
#> 125.1 15.65      1  67        1         0
#> 168.1 23.72      1  70        0         0
#> 41    18.02      1  40        1         0
#> 56.1  12.21      1  60        0         0
#> 129   23.41      1  53        1         0
#> 133.1 14.65      1  57        0         0
#> 96    14.54      1  33        0         1
#> 13    14.34      1  54        0         1
#> 106   16.67      1  49        1         0
#> 168.2 23.72      1  70        0         0
#> 56.2  12.21      1  60        0         0
#> 43    12.10      1  61        0         1
#> 171   16.57      1  41        0         1
#> 107   11.18      1  54        1         0
#> 43.1  12.10      1  61        0         1
#> 68    20.62      1  44        0         0
#> 149    8.37      1  33        1         0
#> 123   13.00      1  44        1         0
#> 100   16.07      1  60        0         0
#> 150.2 20.33      1  48        0         0
#> 164.1 23.60      1  76        0         1
#> 145   10.07      1  65        1         0
#> 37    12.52      1  57        1         0
#> 61    10.12      1  36        0         1
#> 184   17.77      1  38        0         0
#> 136.1 21.83      1  43        0         1
#> 89    11.44      1  NA        0         0
#> 18    15.21      1  49        1         0
#> 184.1 17.77      1  38        0         0
#> 190   20.81      1  42        1         0
#> 153   21.33      1  55        1         0
#> 164.2 23.60      1  76        0         1
#> 113   22.86      1  34        0         0
#> 29    15.45      1  68        1         0
#> 55    19.34      1  69        0         1
#> 177.2 12.53      1  75        0         0
#> 134   17.81      1  47        1         0
#> 111   17.45      1  47        0         1
#> 129.1 23.41      1  53        1         0
#> 76.1  19.22      1  54        0         1
#> 18.1  15.21      1  49        1         0
#> 15    22.68      1  48        0         0
#> 168.3 23.72      1  70        0         0
#> 39.1  15.59      1  37        0         1
#> 188   16.16      1  46        0         1
#> 16.1   8.71      1  71        0         1
#> 32    20.90      1  37        1         0
#> 101    9.97      1  10        0         1
#> 86    23.81      1  58        0         1
#> 166.1 19.98      1  48        0         0
#> 5.1   16.43      1  51        0         1
#> 92    22.92      1  47        0         1
#> 91     5.33      1  61        0         1
#> 77     7.27      1  67        0         1
#> 168.4 23.72      1  70        0         0
#> 40    18.00      1  28        1         0
#> 14.1  12.89      1  21        0         0
#> 85    16.44      1  36        0         0
#> 36    21.19      1  48        0         1
#> 184.2 17.77      1  38        0         0
#> 134.1 17.81      1  47        1         0
#> 177.3 12.53      1  75        0         0
#> 125.2 15.65      1  67        1         0
#> 101.1  9.97      1  10        0         1
#> 194.2 22.40      1  38        0         1
#> 33    24.00      0  53        0         0
#> 7     24.00      0  37        1         0
#> 147   24.00      0  76        1         0
#> 1     24.00      0  23        1         0
#> 162   24.00      0  51        0         0
#> 121   24.00      0  57        1         0
#> 185   24.00      0  44        1         0
#> 182   24.00      0  35        0         0
#> 65    24.00      0  57        1         0
#> 67    24.00      0  25        0         0
#> 54    24.00      0  53        1         0
#> 165   24.00      0  47        0         0
#> 198   24.00      0  66        0         1
#> 48    24.00      0  31        1         0
#> 1.1   24.00      0  23        1         0
#> 17    24.00      0  38        0         1
#> 54.1  24.00      0  53        1         0
#> 74    24.00      0  43        0         1
#> 161   24.00      0  45        0         0
#> 94    24.00      0  51        0         1
#> 120   24.00      0  68        0         1
#> 102   24.00      0  49        0         0
#> 87    24.00      0  27        0         0
#> 161.1 24.00      0  45        0         0
#> 27    24.00      0  63        1         0
#> 121.1 24.00      0  57        1         0
#> 142   24.00      0  53        0         0
#> 161.2 24.00      0  45        0         0
#> 73    24.00      0  NA        0         1
#> 176   24.00      0  43        0         1
#> 87.1  24.00      0  27        0         0
#> 141   24.00      0  44        1         0
#> 135   24.00      0  58        1         0
#> 98    24.00      0  34        1         0
#> 178   24.00      0  52        1         0
#> 27.1  24.00      0  63        1         0
#> 103   24.00      0  56        1         0
#> 193   24.00      0  45        0         1
#> 160   24.00      0  31        1         0
#> 135.1 24.00      0  58        1         0
#> 102.1 24.00      0  49        0         0
#> 146   24.00      0  63        1         0
#> 173   24.00      0  19        0         1
#> 54.2  24.00      0  53        1         0
#> 122   24.00      0  66        0         0
#> 173.1 24.00      0  19        0         1
#> 118   24.00      0  44        1         0
#> 27.2  24.00      0  63        1         0
#> 112   24.00      0  61        0         0
#> 119   24.00      0  17        0         0
#> 152   24.00      0  36        0         1
#> 185.1 24.00      0  44        1         0
#> 103.1 24.00      0  56        1         0
#> 1.2   24.00      0  23        1         0
#> 98.1  24.00      0  34        1         0
#> 200   24.00      0  64        0         0
#> 174   24.00      0  49        1         0
#> 35    24.00      0  51        0         0
#> 34    24.00      0  36        0         0
#> 75    24.00      0  21        1         0
#> 3     24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 196   24.00      0  19        0         0
#> 98.2  24.00      0  34        1         0
#> 161.3 24.00      0  45        0         0
#> 137   24.00      0  45        1         0
#> 44    24.00      0  56        0         0
#> 178.1 24.00      0  52        1         0
#> 151   24.00      0  42        0         0
#> 135.2 24.00      0  58        1         0
#> 135.3 24.00      0  58        1         0
#> 138   24.00      0  44        1         0
#> 109   24.00      0  48        0         0
#> 53    24.00      0  32        0         1
#> 80    24.00      0  41        0         0
#> 173.2 24.00      0  19        0         1
#> 102.2 24.00      0  49        0         0
#> 46    24.00      0  71        0         0
#> 115   24.00      0  NA        1         0
#> 104   24.00      0  50        1         0
#> 47    24.00      0  38        0         1
#> 2     24.00      0   9        0         0
#> 122.1 24.00      0  66        0         0
#> 33.1  24.00      0  53        0         0
#> 95    24.00      0  68        0         1
#> 103.2 24.00      0  56        1         0
#> 35.1  24.00      0  51        0         0
#> 98.3  24.00      0  34        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.919         NA        NA      NA
#> 2 age, Cure model           0.0241        NA        NA      NA
#> 3 grade_ii, Cure model     -0.607         NA        NA      NA
#> 4 grade_iii, Cure model     0.826         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0118        NA        NA      NA
#> 2 grade_ii, Survival model    0.832         NA        NA      NA
#> 3 grade_iii, Survival model   0.451         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.91893           0.02406          -0.60723           0.82627  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.3 
#> Residual Deviance: 247 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.91893493       0.02406253      -0.60722984       0.82626789 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01176925       0.83156195       0.45127165 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.033755377 0.764532726 0.260567617 0.957781090 0.102325225 0.669676470
#>   [7] 0.093662270 0.818621214 0.126179227 0.893935636 0.957781090 0.477718835
#>  [13] 0.527756362 0.299719050 0.477718835 0.989382686 0.151979863 0.280027958
#>  [19] 0.721831814 0.915105434 0.214571840 0.126179227 0.872743801 0.732447764
#>  [25] 0.010243485 0.388183092 0.669676470 0.126179227 0.497888613 0.001182539
#>  [31] 0.241583365 0.437736250 0.807764363 0.587946496 0.214571840 0.893935636
#>  [37] 0.577859465 0.102325225 0.309822763 0.639016040 0.001182539 0.659418566
#>  [43] 0.872743801 0.497888613 0.010243485 0.320030967 0.732447764 0.055115406
#>  [49] 0.587946496 0.608285688 0.618530538 0.408036173 0.010243485 0.732447764
#>  [55] 0.775334085 0.417904943 0.796926187 0.775334085 0.205668381 0.936432685
#>  [61] 0.628804028 0.467576274 0.214571840 0.033755377 0.840426302 0.711234238
#>  [67] 0.829525761 0.359079481 0.151979863 0.557982897 0.359079481 0.196918069
#>  [73] 0.169821027 0.033755377 0.077319891 0.547848791 0.260567617 0.669676470
#>  [79] 0.339972066 0.398097639 0.055115406 0.280027958 0.557982897 0.085322111
#>  [85] 0.010243485 0.527756362 0.457543932 0.915105434 0.188009063 0.851317124
#>  [91] 0.006211709 0.241583365 0.437736250 0.069582228 0.978792989 0.947089667
#>  [97] 0.010243485 0.330099674 0.639016040 0.427780904 0.178890167 0.359079481
#> [103] 0.339972066 0.669676470 0.497888613 0.851317124 0.102325225 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000
#> 
#> $Time
#>   164    49    58    25   194   177   169    10   175   183  25.1    26    39 
#> 23.60 12.19 19.34  6.32 22.40 12.53 22.41 10.53 21.91  9.24  6.32 15.77 15.59 
#>    97  26.1   127   136    76    42    16   150 175.1   187    56   168   117 
#> 19.14 15.77  3.53 21.83 19.22 12.43  8.71 20.33 21.91  9.92 12.21 23.72 17.46 
#> 177.1 175.2   125    78   166     5   159   133 150.1 183.1   180 194.1     8 
#> 12.53 21.91 15.65 23.88 19.98 16.43 10.55 14.65 20.33  9.24 14.82 22.40 18.43 
#>    14  78.1   140 187.1 125.1 168.1    41  56.1   129 133.1    96    13   106 
#> 12.89 23.88 12.68  9.92 15.65 23.72 18.02 12.21 23.41 14.65 14.54 14.34 16.67 
#> 168.2  56.2    43   171   107  43.1    68   149   123   100 150.2 164.1   145 
#> 23.72 12.21 12.10 16.57 11.18 12.10 20.62  8.37 13.00 16.07 20.33 23.60 10.07 
#>    37    61   184 136.1    18 184.1   190   153 164.2   113    29    55 177.2 
#> 12.52 10.12 17.77 21.83 15.21 17.77 20.81 21.33 23.60 22.86 15.45 19.34 12.53 
#>   134   111 129.1  76.1  18.1    15 168.3  39.1   188  16.1    32   101    86 
#> 17.81 17.45 23.41 19.22 15.21 22.68 23.72 15.59 16.16  8.71 20.90  9.97 23.81 
#> 166.1   5.1    92    91    77 168.4    40  14.1    85    36 184.2 134.1 177.3 
#> 19.98 16.43 22.92  5.33  7.27 23.72 18.00 12.89 16.44 21.19 17.77 17.81 12.53 
#> 125.2 101.1 194.2    33     7   147     1   162   121   185   182    65    67 
#> 15.65  9.97 22.40 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54   165   198    48   1.1    17  54.1    74   161    94   120   102    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 161.1    27 121.1   142 161.2   176  87.1   141   135    98   178  27.1   103 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193   160 135.1 102.1   146   173  54.2   122 173.1   118  27.2   112   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152 185.1 103.1   1.2  98.1   200   174    35    34    75     3    28   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.2 161.3   137    44 178.1   151 135.2 135.3   138   109    53    80 173.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 102.2    46   104    47     2 122.1  33.1    95 103.2  35.1  98.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[26]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002454351               1.144113831               0.396427805 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.49364419              0.01313825             -0.51714162 
#>   grade_iii, Cure model 
#>              0.74440513 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 124    9.73      1  NA        1         0
#> 10    10.53      1  34        0         0
#> 23    16.92      1  61        0         0
#> 10.1  10.53      1  34        0         0
#> 43    12.10      1  61        0         1
#> 140   12.68      1  59        1         0
#> 114   13.68      1  NA        0         0
#> 106   16.67      1  49        1         0
#> 105   19.75      1  60        0         0
#> 110   17.56      1  65        0         1
#> 179   18.63      1  42        0         0
#> 189   10.51      1  NA        1         0
#> 68    20.62      1  44        0         0
#> 86    23.81      1  58        0         1
#> 36    21.19      1  48        0         1
#> 136   21.83      1  43        0         1
#> 149    8.37      1  33        1         0
#> 127    3.53      1  62        0         1
#> 43.1  12.10      1  61        0         1
#> 188   16.16      1  46        0         1
#> 187    9.92      1  39        1         0
#> 154   12.63      1  20        1         0
#> 124.1  9.73      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 57    14.46      1  45        0         1
#> 189.1 10.51      1  NA        1         0
#> 117   17.46      1  26        0         1
#> 130   16.47      1  53        0         1
#> 93    10.33      1  52        0         1
#> 41    18.02      1  40        1         0
#> 149.1  8.37      1  33        1         0
#> 18    15.21      1  49        1         0
#> 128   20.35      1  35        0         1
#> 60    13.15      1  38        1         0
#> 199   19.81      1  NA        0         1
#> 130.1 16.47      1  53        0         1
#> 60.1  13.15      1  38        1         0
#> 59    10.16      1  NA        1         0
#> 58    19.34      1  39        0         0
#> 60.2  13.15      1  38        1         0
#> 189.2 10.51      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 107   11.18      1  54        1         0
#> 56    12.21      1  60        0         0
#> 150   20.33      1  48        0         0
#> 4     17.64      1  NA        0         1
#> 130.2 16.47      1  53        0         1
#> 58.1  19.34      1  39        0         0
#> 4.1   17.64      1  NA        0         1
#> 91     5.33      1  61        0         1
#> 91.1   5.33      1  61        0         1
#> 81    14.06      1  34        0         0
#> 188.1 16.16      1  46        0         1
#> 184   17.77      1  38        0         0
#> 164   23.60      1  76        0         1
#> 140.1 12.68      1  59        1         0
#> 37    12.52      1  57        1         0
#> 86.1  23.81      1  58        0         1
#> 23.1  16.92      1  61        0         0
#> 40    18.00      1  28        1         0
#> 43.2  12.10      1  61        0         1
#> 125   15.65      1  67        1         0
#> 123   13.00      1  44        1         0
#> 13    14.34      1  54        0         1
#> 15    22.68      1  48        0         0
#> 15.1  22.68      1  48        0         0
#> 171   16.57      1  41        0         1
#> 169   22.41      1  46        0         0
#> 30.1  17.43      1  78        0         0
#> 194   22.40      1  38        0         1
#> 8     18.43      1  32        0         0
#> 150.1 20.33      1  48        0         0
#> 166   19.98      1  48        0         0
#> 91.2   5.33      1  61        0         1
#> 43.3  12.10      1  61        0         1
#> 169.1 22.41      1  46        0         0
#> 195   11.76      1  NA        1         0
#> 97    19.14      1  65        0         1
#> 79    16.23      1  54        1         0
#> 134   17.81      1  47        1         0
#> 77     7.27      1  67        0         1
#> 181   16.46      1  45        0         1
#> 90    20.94      1  50        0         1
#> 105.1 19.75      1  60        0         0
#> 187.1  9.92      1  39        1         0
#> 134.1 17.81      1  47        1         0
#> 52    10.42      1  52        0         1
#> 154.1 12.63      1  20        1         0
#> 184.1 17.77      1  38        0         0
#> 29    15.45      1  68        1         0
#> 55    19.34      1  69        0         1
#> 14    12.89      1  21        0         0
#> 111.1 17.45      1  47        0         1
#> 85    16.44      1  36        0         0
#> 105.2 19.75      1  60        0         0
#> 68.1  20.62      1  44        0         0
#> 99    21.19      1  38        0         1
#> 24    23.89      1  38        0         0
#> 52.1  10.42      1  52        0         1
#> 195.1 11.76      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 105.3 19.75      1  60        0         0
#> 194.1 22.40      1  38        0         1
#> 157   15.10      1  47        0         0
#> 15.2  22.68      1  48        0         0
#> 68.2  20.62      1  44        0         0
#> 15.3  22.68      1  48        0         0
#> 153   21.33      1  55        1         0
#> 89    11.44      1  NA        0         0
#> 55.1  19.34      1  69        0         1
#> 41.1  18.02      1  40        1         0
#> 100   16.07      1  60        0         0
#> 22    24.00      0  52        1         0
#> 135   24.00      0  58        1         0
#> 64    24.00      0  43        0         0
#> 172   24.00      0  41        0         0
#> 95    24.00      0  68        0         1
#> 44    24.00      0  56        0         0
#> 102   24.00      0  49        0         0
#> 17    24.00      0  38        0         1
#> 147   24.00      0  76        1         0
#> 28    24.00      0  67        1         0
#> 20    24.00      0  46        1         0
#> 198   24.00      0  66        0         1
#> 174   24.00      0  49        1         0
#> 112   24.00      0  61        0         0
#> 87    24.00      0  27        0         0
#> 126   24.00      0  48        0         0
#> 142   24.00      0  53        0         0
#> 94    24.00      0  51        0         1
#> 178   24.00      0  52        1         0
#> 34    24.00      0  36        0         0
#> 84    24.00      0  39        0         1
#> 67    24.00      0  25        0         0
#> 27    24.00      0  63        1         0
#> 126.1 24.00      0  48        0         0
#> 54    24.00      0  53        1         0
#> 122   24.00      0  66        0         0
#> 135.1 24.00      0  58        1         0
#> 137   24.00      0  45        1         0
#> 54.1  24.00      0  53        1         0
#> 72    24.00      0  40        0         1
#> 196   24.00      0  19        0         0
#> 1     24.00      0  23        1         0
#> 185   24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 152   24.00      0  36        0         1
#> 33    24.00      0  53        0         0
#> 144   24.00      0  28        0         1
#> 67.1  24.00      0  25        0         0
#> 48    24.00      0  31        1         0
#> 116   24.00      0  58        0         1
#> 75    24.00      0  21        1         0
#> 38    24.00      0  31        1         0
#> 152.1 24.00      0  36        0         1
#> 160   24.00      0  31        1         0
#> 1.1   24.00      0  23        1         0
#> 1.2   24.00      0  23        1         0
#> 35    24.00      0  51        0         0
#> 138   24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 73.1  24.00      0  NA        0         1
#> 31    24.00      0  36        0         1
#> 161   24.00      0  45        0         0
#> 162   24.00      0  51        0         0
#> 67.2  24.00      0  25        0         0
#> 103   24.00      0  56        1         0
#> 94.1  24.00      0  51        0         1
#> 7     24.00      0  37        1         0
#> 98    24.00      0  34        1         0
#> 162.1 24.00      0  51        0         0
#> 172.1 24.00      0  41        0         0
#> 135.2 24.00      0  58        1         0
#> 146   24.00      0  63        1         0
#> 95.1  24.00      0  68        0         1
#> 20.1  24.00      0  46        1         0
#> 80.1  24.00      0  41        0         0
#> 75.1  24.00      0  21        1         0
#> 1.3   24.00      0  23        1         0
#> 116.1 24.00      0  58        0         1
#> 44.1  24.00      0  56        0         0
#> 135.3 24.00      0  58        1         0
#> 141   24.00      0  44        1         0
#> 131   24.00      0  66        0         0
#> 21    24.00      0  47        0         0
#> 142.1 24.00      0  53        0         0
#> 54.2  24.00      0  53        1         0
#> 67.3  24.00      0  25        0         0
#> 103.1 24.00      0  56        1         0
#> 2     24.00      0   9        0         0
#> 109   24.00      0  48        0         0
#> 138.1 24.00      0  44        1         0
#> 131.1 24.00      0  66        0         0
#> 3     24.00      0  31        1         0
#> 12    24.00      0  63        0         0
#> 115   24.00      0  NA        1         0
#> 22.1  24.00      0  52        1         0
#> 120   24.00      0  68        0         1
#> 135.4 24.00      0  58        1         0
#> 48.1  24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.494         NA        NA      NA
#> 2 age, Cure model           0.0131        NA        NA      NA
#> 3 grade_ii, Cure model     -0.517         NA        NA      NA
#> 4 grade_iii, Cure model     0.744         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00245        NA        NA      NA
#> 2 grade_ii, Survival model   1.14           NA        NA      NA
#> 3 grade_iii, Survival model  0.396          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.49364           0.01314          -0.51714           0.74441  
#> 
#> Degrees of Freedom: 183 Total (i.e. Null);  180 Residual
#> Null Deviance:	    254 
#> Residual Deviance: 240.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.49364419       0.01313825      -0.51714162       0.74440513 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002454351      1.144113831      0.396427805 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.90554395 0.60773917 0.90554395 0.87034834 0.82640476 0.62702832
#>   [7] 0.34952306 0.54989954 0.45456245 0.26688032 0.03539624 0.23102201
#>  [13] 0.20420565 0.95405629 0.99344164 0.87034834 0.70088351 0.94050541
#>  [19] 0.84144400 0.56943907 0.76200059 0.55970295 0.64589693 0.93351815
#>  [25] 0.47859787 0.95405629 0.74508955 0.30182732 0.78724144 0.64589693
#>  [31] 0.78724144 0.39627537 0.78724144 0.58853482 0.89851540 0.86315352
#>  [37] 0.31378240 0.64589693 0.39627537 0.97386062 0.97386062 0.77883224
#>  [43] 0.70088351 0.53037530 0.07909225 0.82640476 0.85596691 0.03539624
#>  [49] 0.60773917 0.50036069 0.87034834 0.72766918 0.81081076 0.77043030
#>  [55] 0.09466113 0.09466113 0.63648669 0.14677030 0.58853482 0.17630846
#>  [61] 0.46656846 0.31378240 0.33743430 0.97386062 0.87034834 0.14677030
#>  [67] 0.44258743 0.69184563 0.51091492 0.96725195 0.67335758 0.25485344
#>  [73] 0.34952306 0.94050541 0.51091492 0.91956386 0.84144400 0.53037530
#>  [79] 0.73646471 0.39627537 0.81860590 0.56943907 0.68259631 0.34952306
#>  [85] 0.26688032 0.23102201 0.01180889 0.91956386 0.06278744 0.34952306
#>  [91] 0.17630846 0.75353990 0.09466113 0.26688032 0.09466113 0.21832914
#>  [97] 0.39627537 0.47859787 0.71869317 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    10    23  10.1    43   140   106   105   110   179    68    86    36   136 
#> 10.53 16.92 10.53 12.10 12.68 16.67 19.75 17.56 18.63 20.62 23.81 21.19 21.83 
#>   149   127  43.1   188   187   154   111    57   117   130    93    41 149.1 
#>  8.37  3.53 12.10 16.16  9.92 12.63 17.45 14.46 17.46 16.47 10.33 18.02  8.37 
#>    18   128    60 130.1  60.1    58  60.2    30   107    56   150 130.2  58.1 
#> 15.21 20.35 13.15 16.47 13.15 19.34 13.15 17.43 11.18 12.21 20.33 16.47 19.34 
#>    91  91.1    81 188.1   184   164 140.1    37  86.1  23.1    40  43.2   125 
#>  5.33  5.33 14.06 16.16 17.77 23.60 12.68 12.52 23.81 16.92 18.00 12.10 15.65 
#>   123    13    15  15.1   171   169  30.1   194     8 150.1   166  91.2  43.3 
#> 13.00 14.34 22.68 22.68 16.57 22.41 17.43 22.40 18.43 20.33 19.98  5.33 12.10 
#> 169.1    97    79   134    77   181    90 105.1 187.1 134.1    52 154.1 184.1 
#> 22.41 19.14 16.23 17.81  7.27 16.46 20.94 19.75  9.92 17.81 10.42 12.63 17.77 
#>    29    55    14 111.1    85 105.2  68.1    99    24  52.1   168 105.3 194.1 
#> 15.45 19.34 12.89 17.45 16.44 19.75 20.62 21.19 23.89 10.42 23.72 19.75 22.40 
#>   157  15.2  68.2  15.3   153  55.1  41.1   100    22   135    64   172    95 
#> 15.10 22.68 20.62 22.68 21.33 19.34 18.02 16.07 24.00 24.00 24.00 24.00 24.00 
#>    44   102    17   147    28    20   198   174   112    87   126   142    94 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178    34    84    67    27 126.1    54   122 135.1   137  54.1    72   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1   185   152    33   144  67.1    48   116    75    38 152.1   160   1.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   1.2    35   138    80    31   161   162  67.2   103  94.1     7    98 162.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.1 135.2   146  95.1  20.1  80.1  75.1   1.3 116.1  44.1 135.3   141   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21 142.1  54.2  67.3 103.1     2   109 138.1 131.1     3    12  22.1   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 135.4  48.1 
#> 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[27]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              0.0001134408              0.9724561705              0.4355241065 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.338319473             0.002156671            -0.042515720 
#>   grade_iii, Cure model 
#>             1.380584938 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 23    16.92      1  61        0         0
#> 180   14.82      1  37        0         0
#> 155   13.08      1  26        0         0
#> 189   10.51      1  NA        1         0
#> 40    18.00      1  28        1         0
#> 105   19.75      1  60        0         0
#> 127    3.53      1  62        0         1
#> 107   11.18      1  54        1         0
#> 30    17.43      1  78        0         0
#> 123   13.00      1  44        1         0
#> 99    21.19      1  38        0         1
#> 169   22.41      1  46        0         0
#> 99.1  21.19      1  38        0         1
#> 159   10.55      1  50        0         1
#> 30.1  17.43      1  78        0         0
#> 169.1 22.41      1  46        0         0
#> 170   19.54      1  43        0         1
#> 145   10.07      1  65        1         0
#> 181   16.46      1  45        0         1
#> 155.1 13.08      1  26        0         0
#> 4     17.64      1  NA        0         1
#> 59    10.16      1  NA        1         0
#> 66    22.13      1  53        0         0
#> 36    21.19      1  48        0         1
#> 101    9.97      1  10        0         1
#> 199   19.81      1  NA        0         1
#> 108   18.29      1  39        0         1
#> 187    9.92      1  39        1         0
#> 37    12.52      1  57        1         0
#> 199.1 19.81      1  NA        0         1
#> 52    10.42      1  52        0         1
#> 149    8.37      1  33        1         0
#> 195   11.76      1  NA        1         0
#> 59.1  10.16      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 105.1 19.75      1  60        0         0
#> 36.1  21.19      1  48        0         1
#> 76    19.22      1  54        0         1
#> 70     7.38      1  30        1         0
#> 79    16.23      1  54        1         0
#> 171   16.57      1  41        0         1
#> 164   23.60      1  76        0         1
#> 60    13.15      1  38        1         0
#> 69    23.23      1  25        0         1
#> 69.1  23.23      1  25        0         1
#> 157   15.10      1  47        0         0
#> 57    14.46      1  45        0         1
#> 171.1 16.57      1  41        0         1
#> 199.2 19.81      1  NA        0         1
#> 26    15.77      1  49        0         1
#> 70.1   7.38      1  30        1         0
#> 159.1 10.55      1  50        0         1
#> 15    22.68      1  48        0         0
#> 129   23.41      1  53        1         0
#> 179   18.63      1  42        0         0
#> 37.1  12.52      1  57        1         0
#> 59.2  10.16      1  NA        1         0
#> 113   22.86      1  34        0         0
#> 140   12.68      1  59        1         0
#> 179.1 18.63      1  42        0         0
#> 136   21.83      1  43        0         1
#> 16     8.71      1  71        0         1
#> 6     15.64      1  39        0         0
#> 124    9.73      1  NA        1         0
#> 14    12.89      1  21        0         0
#> 52.1  10.42      1  52        0         1
#> 77     7.27      1  67        0         1
#> 25     6.32      1  34        1         0
#> 175   21.91      1  43        0         0
#> 52.2  10.42      1  52        0         1
#> 101.1  9.97      1  10        0         1
#> 30.2  17.43      1  78        0         0
#> 96    14.54      1  33        0         1
#> 16.1   8.71      1  71        0         1
#> 188   16.16      1  46        0         1
#> 159.2 10.55      1  50        0         1
#> 78.1  23.88      1  43        0         0
#> 123.1 13.00      1  44        1         0
#> 55    19.34      1  69        0         1
#> 167   15.55      1  56        1         0
#> 42    12.43      1  49        0         1
#> 159.3 10.55      1  50        0         1
#> 108.1 18.29      1  39        0         1
#> 194   22.40      1  38        0         1
#> 177   12.53      1  75        0         0
#> 181.1 16.46      1  45        0         1
#> 105.2 19.75      1  60        0         0
#> 49    12.19      1  48        1         0
#> 197   21.60      1  69        1         0
#> 40.1  18.00      1  28        1         0
#> 159.4 10.55      1  50        0         1
#> 155.2 13.08      1  26        0         0
#> 13    14.34      1  54        0         1
#> 194.1 22.40      1  38        0         1
#> 90    20.94      1  50        0         1
#> 139   21.49      1  63        1         0
#> 92    22.92      1  47        0         1
#> 43    12.10      1  61        0         1
#> 183    9.24      1  67        1         0
#> 30.3  17.43      1  78        0         0
#> 70.2   7.38      1  30        1         0
#> 14.1  12.89      1  21        0         0
#> 18    15.21      1  49        1         0
#> 145.1 10.07      1  65        1         0
#> 155.3 13.08      1  26        0         0
#> 113.1 22.86      1  34        0         0
#> 171.2 16.57      1  41        0         1
#> 57.1  14.46      1  45        0         1
#> 15.1  22.68      1  48        0         0
#> 26.1  15.77      1  49        0         1
#> 13.1  14.34      1  54        0         1
#> 136.1 21.83      1  43        0         1
#> 172   24.00      0  41        0         0
#> 191   24.00      0  60        0         1
#> 94    24.00      0  51        0         1
#> 161   24.00      0  45        0         0
#> 147   24.00      0  76        1         0
#> 82    24.00      0  34        0         0
#> 84    24.00      0  39        0         1
#> 174   24.00      0  49        1         0
#> 9     24.00      0  31        1         0
#> 115   24.00      0  NA        1         0
#> 135   24.00      0  58        1         0
#> 35    24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 82.1  24.00      0  34        0         0
#> 112   24.00      0  61        0         0
#> 44    24.00      0  56        0         0
#> 28    24.00      0  67        1         0
#> 176   24.00      0  43        0         1
#> 74    24.00      0  43        0         1
#> 115.1 24.00      0  NA        1         0
#> 94.1  24.00      0  51        0         1
#> 9.1   24.00      0  31        1         0
#> 22    24.00      0  52        1         0
#> 178   24.00      0  52        1         0
#> 163   24.00      0  66        0         0
#> 54    24.00      0  53        1         0
#> 160   24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 82.2  24.00      0  34        0         0
#> 152   24.00      0  36        0         1
#> 48    24.00      0  31        1         0
#> 9.2   24.00      0  31        1         0
#> 200   24.00      0  64        0         0
#> 174.1 24.00      0  49        1         0
#> 22.1  24.00      0  52        1         0
#> 141   24.00      0  44        1         0
#> 67    24.00      0  25        0         0
#> 65    24.00      0  57        1         0
#> 131   24.00      0  66        0         0
#> 38    24.00      0  31        1         0
#> 172.1 24.00      0  41        0         0
#> 121   24.00      0  57        1         0
#> 72    24.00      0  40        0         1
#> 185   24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 161.1 24.00      0  45        0         0
#> 80.1  24.00      0  41        0         0
#> 7     24.00      0  37        1         0
#> 44.1  24.00      0  56        0         0
#> 2     24.00      0   9        0         0
#> 178.1 24.00      0  52        1         0
#> 200.1 24.00      0  64        0         0
#> 72.1  24.00      0  40        0         1
#> 172.2 24.00      0  41        0         0
#> 160.1 24.00      0  31        1         0
#> 48.1  24.00      0  31        1         0
#> 148   24.00      0  61        1         0
#> 137   24.00      0  45        1         0
#> 21.1  24.00      0  47        0         0
#> 118   24.00      0  44        1         0
#> 161.2 24.00      0  45        0         0
#> 143   24.00      0  51        0         0
#> 172.3 24.00      0  41        0         0
#> 163.1 24.00      0  66        0         0
#> 102   24.00      0  49        0         0
#> 176.1 24.00      0  43        0         1
#> 142   24.00      0  53        0         0
#> 82.3  24.00      0  34        0         0
#> 135.1 24.00      0  58        1         0
#> 82.4  24.00      0  34        0         0
#> 162   24.00      0  51        0         0
#> 71    24.00      0  51        0         0
#> 109   24.00      0  48        0         0
#> 28.1  24.00      0  67        1         0
#> 162.1 24.00      0  51        0         0
#> 112.1 24.00      0  61        0         0
#> 116   24.00      0  58        0         1
#> 7.1   24.00      0  37        1         0
#> 174.2 24.00      0  49        1         0
#> 176.2 24.00      0  43        0         1
#> 109.1 24.00      0  48        0         0
#> 147.1 24.00      0  76        1         0
#> 131.1 24.00      0  66        0         0
#> 22.2  24.00      0  52        1         0
#> 182   24.00      0  35        0         0
#> 84.1  24.00      0  39        0         1
#> 152.1 24.00      0  36        0         1
#> 185.1 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.338          NA        NA      NA
#> 2 age, Cure model          0.00216        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0425         NA        NA      NA
#> 4 grade_iii, Cure model    1.38           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.000113        NA        NA      NA
#> 2 grade_ii, Survival model  0.972           NA        NA      NA
#> 3 grade_iii, Survival model 0.436           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.338319          0.002157         -0.042516          1.380585  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.3 
#> Residual Deviance: 241.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.338319473      0.002156671     -0.042515720      1.380584938 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     0.0001134408     0.9724561705     0.4355241065 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.56244908 0.68269556 0.73795319 0.50803413 0.40716824 0.99412351
#>   [7] 0.84788643 0.52639287 0.76830402 0.35567262 0.22464442 0.35567262
#>  [13] 0.85475257 0.52639287 0.22464442 0.43788212 0.90755106 0.59825591
#>  [19] 0.73795319 0.27941108 0.35567262 0.92044650 0.48850942 0.93324377
#>  [25] 0.81265675 0.88781176 0.95829210 0.02946071 0.40716824 0.35567262
#>  [31] 0.45845045 0.96445712 0.61581219 0.57168725 0.07969378 0.73024467
#>  [37] 0.12383107 0.12383107 0.67459741 0.69883904 0.57168725 0.63301798
#>  [43] 0.96445712 0.85475257 0.19643107 0.10546583 0.46854390 0.81265675
#>  [49] 0.16820264 0.79797862 0.46854390 0.30663095 0.94586995 0.64979205
#>  [55] 0.78314165 0.88781176 0.98227293 0.98822761 0.29302250 0.88781176
#>  [61] 0.92044650 0.52639287 0.69079331 0.94586995 0.62444790 0.85475257
#>  [67] 0.02946071 0.76830402 0.44823210 0.65823344 0.82684421 0.85475257
#>  [73] 0.48850942 0.25284394 0.80531798 0.59825591 0.40716824 0.83393476
#>  [79] 0.33202635 0.50803413 0.85475257 0.73795319 0.71463763 0.25284394
#>  [85] 0.39665633 0.34418694 0.15343680 0.84092670 0.93959216 0.52639287
#>  [91] 0.96445712 0.78314165 0.66649874 0.90755106 0.73795319 0.16820264
#>  [97] 0.57168725 0.69883904 0.19643107 0.63301798 0.71463763 0.30663095
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>    23   180   155    40   105   127   107    30   123    99   169  99.1   159 
#> 16.92 14.82 13.08 18.00 19.75  3.53 11.18 17.43 13.00 21.19 22.41 21.19 10.55 
#>  30.1 169.1   170   145   181 155.1    66    36   101   108   187    37    52 
#> 17.43 22.41 19.54 10.07 16.46 13.08 22.13 21.19  9.97 18.29  9.92 12.52 10.42 
#>   149    78 105.1  36.1    76    70    79   171   164    60    69  69.1   157 
#>  8.37 23.88 19.75 21.19 19.22  7.38 16.23 16.57 23.60 13.15 23.23 23.23 15.10 
#>    57 171.1    26  70.1 159.1    15   129   179  37.1   113   140 179.1   136 
#> 14.46 16.57 15.77  7.38 10.55 22.68 23.41 18.63 12.52 22.86 12.68 18.63 21.83 
#>    16     6    14  52.1    77    25   175  52.2 101.1  30.2    96  16.1   188 
#>  8.71 15.64 12.89 10.42  7.27  6.32 21.91 10.42  9.97 17.43 14.54  8.71 16.16 
#> 159.2  78.1 123.1    55   167    42 159.3 108.1   194   177 181.1 105.2    49 
#> 10.55 23.88 13.00 19.34 15.55 12.43 10.55 18.29 22.40 12.53 16.46 19.75 12.19 
#>   197  40.1 159.4 155.2    13 194.1    90   139    92    43   183  30.3  70.2 
#> 21.60 18.00 10.55 13.08 14.34 22.40 20.94 21.49 22.92 12.10  9.24 17.43  7.38 
#>  14.1    18 145.1 155.3 113.1 171.2  57.1  15.1  26.1  13.1 136.1   172   191 
#> 12.89 15.21 10.07 13.08 22.86 16.57 14.46 22.68 15.77 14.34 21.83 24.00 24.00 
#>    94   161   147    82    84   174     9   135    35    21  82.1   112    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28   176    74  94.1   9.1    22   178   163    54   160    19  82.2   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48   9.2   200 174.1  22.1   141    67    65   131    38 172.1   121    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185    80 161.1  80.1     7  44.1     2 178.1 200.1  72.1 172.2 160.1  48.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148   137  21.1   118 161.2   143 172.3 163.1   102 176.1   142  82.3 135.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  82.4   162    71   109  28.1 162.1 112.1   116   7.1 174.2 176.2 109.1 147.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.1  22.2   182  84.1 152.1 185.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[28]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004543698               0.556780121               0.400438286 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.93627829              0.01489131              0.15908695 
#>   grade_iii, Cure model 
#>              1.41580796 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 93    10.33      1  52        0         1
#> 69    23.23      1  25        0         1
#> 50    10.02      1  NA        1         0
#> 57    14.46      1  45        0         1
#> 111   17.45      1  47        0         1
#> 180   14.82      1  37        0         0
#> 133   14.65      1  57        0         0
#> 101    9.97      1  10        0         1
#> 32    20.90      1  37        1         0
#> 78    23.88      1  43        0         0
#> 79    16.23      1  54        1         0
#> 39    15.59      1  37        0         1
#> 159   10.55      1  50        0         1
#> 128   20.35      1  35        0         1
#> 125   15.65      1  67        1         0
#> 58    19.34      1  39        0         0
#> 68    20.62      1  44        0         0
#> 107   11.18      1  54        1         0
#> 16     8.71      1  71        0         1
#> 78.1  23.88      1  43        0         0
#> 184   17.77      1  38        0         0
#> 125.1 15.65      1  67        1         0
#> 111.1 17.45      1  47        0         1
#> 133.1 14.65      1  57        0         0
#> 110   17.56      1  65        0         1
#> 110.1 17.56      1  65        0         1
#> 93.1  10.33      1  52        0         1
#> 41    18.02      1  40        1         0
#> 81    14.06      1  34        0         0
#> 4     17.64      1  NA        0         1
#> 24    23.89      1  38        0         0
#> 184.1 17.77      1  38        0         0
#> 23    16.92      1  61        0         0
#> 99    21.19      1  38        0         1
#> 129   23.41      1  53        1         0
#> 106   16.67      1  49        1         0
#> 76    19.22      1  54        0         1
#> 81.1  14.06      1  34        0         0
#> 159.1 10.55      1  50        0         1
#> 49    12.19      1  48        1         0
#> 79.1  16.23      1  54        1         0
#> 14    12.89      1  21        0         0
#> 49.1  12.19      1  48        1         0
#> 195   11.76      1  NA        1         0
#> 93.2  10.33      1  52        0         1
#> 183    9.24      1  67        1         0
#> 184.2 17.77      1  38        0         0
#> 187    9.92      1  39        1         0
#> 170   19.54      1  43        0         1
#> 194   22.40      1  38        0         1
#> 190   20.81      1  42        1         0
#> 18    15.21      1  49        1         0
#> 110.2 17.56      1  65        0         1
#> 155   13.08      1  26        0         0
#> 43    12.10      1  61        0         1
#> 130   16.47      1  53        0         1
#> 155.1 13.08      1  26        0         0
#> 70     7.38      1  30        1         0
#> 89    11.44      1  NA        0         0
#> 25     6.32      1  34        1         0
#> 190.1 20.81      1  42        1         0
#> 189   10.51      1  NA        1         0
#> 68.1  20.62      1  44        0         0
#> 168   23.72      1  70        0         0
#> 5     16.43      1  51        0         1
#> 90    20.94      1  50        0         1
#> 175   21.91      1  43        0         0
#> 32.1  20.90      1  37        1         0
#> 192   16.44      1  31        1         0
#> 139   21.49      1  63        1         0
#> 50.1  10.02      1  NA        1         0
#> 39.1  15.59      1  37        0         1
#> 55    19.34      1  69        0         1
#> 32.2  20.90      1  37        1         0
#> 166   19.98      1  48        0         0
#> 180.1 14.82      1  37        0         0
#> 129.1 23.41      1  53        1         0
#> 93.3  10.33      1  52        0         1
#> 167   15.55      1  56        1         0
#> 51    18.23      1  83        0         1
#> 26    15.77      1  49        0         1
#> 145   10.07      1  65        1         0
#> 170.1 19.54      1  43        0         1
#> 86    23.81      1  58        0         1
#> 125.2 15.65      1  67        1         0
#> 8     18.43      1  32        0         0
#> 159.2 10.55      1  50        0         1
#> 110.3 17.56      1  65        0         1
#> 52    10.42      1  52        0         1
#> 107.1 11.18      1  54        1         0
#> 52.1  10.42      1  52        0         1
#> 92    22.92      1  47        0         1
#> 23.1  16.92      1  61        0         0
#> 10    10.53      1  34        0         0
#> 42    12.43      1  49        0         1
#> 100   16.07      1  60        0         0
#> 164   23.60      1  76        0         1
#> 150   20.33      1  48        0         0
#> 192.1 16.44      1  31        1         0
#> 69.1  23.23      1  25        0         1
#> 171   16.57      1  41        0         1
#> 168.1 23.72      1  70        0         0
#> 96    14.54      1  33        0         1
#> 70.1   7.38      1  30        1         0
#> 58.1  19.34      1  39        0         0
#> 49.2  12.19      1  48        1         0
#> 39.2  15.59      1  37        0         1
#> 77     7.27      1  67        0         1
#> 159.3 10.55      1  50        0         1
#> 51.1  18.23      1  83        0         1
#> 86.1  23.81      1  58        0         1
#> 85    16.44      1  36        0         0
#> 21    24.00      0  47        0         0
#> 178   24.00      0  52        1         0
#> 82    24.00      0  34        0         0
#> 118   24.00      0  44        1         0
#> 122   24.00      0  66        0         0
#> 22    24.00      0  52        1         0
#> 71    24.00      0  51        0         0
#> 67    24.00      0  25        0         0
#> 161   24.00      0  45        0         0
#> 185   24.00      0  44        1         0
#> 21.1  24.00      0  47        0         0
#> 71.1  24.00      0  51        0         0
#> 156   24.00      0  50        1         0
#> 160   24.00      0  31        1         0
#> 44    24.00      0  56        0         0
#> 38    24.00      0  31        1         0
#> 121   24.00      0  57        1         0
#> 143   24.00      0  51        0         0
#> 196   24.00      0  19        0         0
#> 151   24.00      0  42        0         0
#> 9     24.00      0  31        1         0
#> 21.2  24.00      0  47        0         0
#> 11    24.00      0  42        0         1
#> 146   24.00      0  63        1         0
#> 9.1   24.00      0  31        1         0
#> 146.1 24.00      0  63        1         0
#> 102   24.00      0  49        0         0
#> 141   24.00      0  44        1         0
#> 9.2   24.00      0  31        1         0
#> 34    24.00      0  36        0         0
#> 17    24.00      0  38        0         1
#> 191   24.00      0  60        0         1
#> 12    24.00      0  63        0         0
#> 146.2 24.00      0  63        1         0
#> 137   24.00      0  45        1         0
#> 47    24.00      0  38        0         1
#> 22.1  24.00      0  52        1         0
#> 137.1 24.00      0  45        1         0
#> 200   24.00      0  64        0         0
#> 7     24.00      0  37        1         0
#> 119   24.00      0  17        0         0
#> 34.1  24.00      0  36        0         0
#> 161.1 24.00      0  45        0         0
#> 115   24.00      0  NA        1         0
#> 72    24.00      0  40        0         1
#> 53    24.00      0  32        0         1
#> 132   24.00      0  55        0         0
#> 119.1 24.00      0  17        0         0
#> 74    24.00      0  43        0         1
#> 21.3  24.00      0  47        0         0
#> 143.1 24.00      0  51        0         0
#> 178.1 24.00      0  52        1         0
#> 67.1  24.00      0  25        0         0
#> 2     24.00      0   9        0         0
#> 152   24.00      0  36        0         1
#> 146.3 24.00      0  63        1         0
#> 21.4  24.00      0  47        0         0
#> 152.1 24.00      0  36        0         1
#> 54    24.00      0  53        1         0
#> 33    24.00      0  53        0         0
#> 119.2 24.00      0  17        0         0
#> 84    24.00      0  39        0         1
#> 112   24.00      0  61        0         0
#> 1     24.00      0  23        1         0
#> 118.1 24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 178.2 24.00      0  52        1         0
#> 2.1   24.00      0   9        0         0
#> 121.1 24.00      0  57        1         0
#> 47.1  24.00      0  38        0         1
#> 64    24.00      0  43        0         0
#> 131   24.00      0  66        0         0
#> 71.2  24.00      0  51        0         0
#> 121.2 24.00      0  57        1         0
#> 186   24.00      0  45        1         0
#> 118.2 24.00      0  44        1         0
#> 135   24.00      0  58        1         0
#> 54.1  24.00      0  53        1         0
#> 102.1 24.00      0  49        0         0
#> 182   24.00      0  35        0         0
#> 47.2  24.00      0  38        0         1
#> 144   24.00      0  28        0         1
#> 143.2 24.00      0  51        0         0
#> 178.3 24.00      0  52        1         0
#> 33.1  24.00      0  53        0         0
#> 120   24.00      0  68        0         1
#> 71.3  24.00      0  51        0         0
#> 44.1  24.00      0  56        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.936         NA        NA      NA
#> 2 age, Cure model           0.0149        NA        NA      NA
#> 3 grade_ii, Cure model      0.159         NA        NA      NA
#> 4 grade_iii, Cure model     1.42          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00454        NA        NA      NA
#> 2 grade_ii, Survival model   0.557          NA        NA      NA
#> 3 grade_iii, Survival model  0.400          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.93628           0.01489           0.15909           1.41581  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.1 
#> Residual Deviance: 245.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.93627829       0.01489131       0.15908695       1.41580796 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004543698      0.556780121      0.400438286 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.892124950 0.128155822 0.720460703 0.469665457 0.676826551 0.694210851
#>   [7] 0.933800189 0.215632609 0.019555539 0.571006538 0.633303164 0.833150260
#>  [13] 0.281855781 0.606969650 0.329556819 0.262873496 0.816073328 0.958839397
#>  [19] 0.019555539 0.405034659 0.606969650 0.469665457 0.694210851 0.433056279
#>  [25] 0.433056279 0.892124950 0.395576550 0.729203309 0.005958364 0.405034659
#>  [31] 0.488190112 0.194222548 0.104998019 0.506886570 0.357558258 0.729203309
#>  [37] 0.833150260 0.781714264 0.571006538 0.764128659 0.781714264 0.892124950
#>  [43] 0.950518381 0.405034659 0.942176404 0.310741787 0.161201276 0.244136855
#>  [49] 0.668112729 0.433056279 0.746643221 0.807423243 0.525579936 0.746643221
#>  [55] 0.967154571 0.991800142 0.244136855 0.262873496 0.066422142 0.561883695
#>  [61] 0.204980380 0.172192712 0.215632609 0.534877867 0.183310298 0.633303164
#>  [67] 0.329556819 0.215632609 0.301051961 0.676826551 0.104998019 0.892124950
#>  [73] 0.659353586 0.376683438 0.597947762 0.925391832 0.310741787 0.043711537
#>  [79] 0.606969650 0.367103988 0.833150260 0.433056279 0.875220029 0.816073328
#>  [85] 0.875220029 0.150015109 0.488190112 0.866696846 0.772931192 0.588899311
#>  [91] 0.091542106 0.291422888 0.534877867 0.128155822 0.516253455 0.066422142
#>  [97] 0.711695071 0.967154571 0.329556819 0.781714264 0.633303164 0.983566572
#> [103] 0.833150260 0.376683438 0.043711537 0.534877867 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    93    69    57   111   180   133   101    32    78    79    39   159   128 
#> 10.33 23.23 14.46 17.45 14.82 14.65  9.97 20.90 23.88 16.23 15.59 10.55 20.35 
#>   125    58    68   107    16  78.1   184 125.1 111.1 133.1   110 110.1  93.1 
#> 15.65 19.34 20.62 11.18  8.71 23.88 17.77 15.65 17.45 14.65 17.56 17.56 10.33 
#>    41    81    24 184.1    23    99   129   106    76  81.1 159.1    49  79.1 
#> 18.02 14.06 23.89 17.77 16.92 21.19 23.41 16.67 19.22 14.06 10.55 12.19 16.23 
#>    14  49.1  93.2   183 184.2   187   170   194   190    18 110.2   155    43 
#> 12.89 12.19 10.33  9.24 17.77  9.92 19.54 22.40 20.81 15.21 17.56 13.08 12.10 
#>   130 155.1    70    25 190.1  68.1   168     5    90   175  32.1   192   139 
#> 16.47 13.08  7.38  6.32 20.81 20.62 23.72 16.43 20.94 21.91 20.90 16.44 21.49 
#>  39.1    55  32.2   166 180.1 129.1  93.3   167    51    26   145 170.1    86 
#> 15.59 19.34 20.90 19.98 14.82 23.41 10.33 15.55 18.23 15.77 10.07 19.54 23.81 
#> 125.2     8 159.2 110.3    52 107.1  52.1    92  23.1    10    42   100   164 
#> 15.65 18.43 10.55 17.56 10.42 11.18 10.42 22.92 16.92 10.53 12.43 16.07 23.60 
#>   150 192.1  69.1   171 168.1    96  70.1  58.1  49.2  39.2    77 159.3  51.1 
#> 20.33 16.44 23.23 16.57 23.72 14.54  7.38 19.34 12.19 15.59  7.27 10.55 18.23 
#>  86.1    85    21   178    82   118   122    22    71    67   161   185  21.1 
#> 23.81 16.44 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  71.1   156   160    44    38   121   143   196   151     9  21.2    11   146 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.1 146.1   102   141   9.2    34    17   191    12 146.2   137    47  22.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 137.1   200     7   119  34.1 161.1    72    53   132 119.1    74  21.3 143.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 178.1  67.1     2   152 146.3  21.4 152.1    54    33 119.2    84   112     1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 118.1 178.2   2.1 121.1  47.1    64   131  71.2 121.2   186 118.2   135  54.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 102.1   182  47.2   144 143.2 178.3  33.1   120  71.3  44.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[29]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004880639               0.672094154               0.474354249 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.35871672              0.01227582             -0.29434927 
#>   grade_iii, Cure model 
#>              0.44882991 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 51    18.23      1  83        0         1
#> 50    10.02      1  NA        1         0
#> 106   16.67      1  49        1         0
#> 140   12.68      1  59        1         0
#> 124    9.73      1  NA        1         0
#> 70     7.38      1  30        1         0
#> 58    19.34      1  39        0         0
#> 50.1  10.02      1  NA        1         0
#> 76    19.22      1  54        0         1
#> 158   20.14      1  74        1         0
#> 57    14.46      1  45        0         1
#> 90    20.94      1  50        0         1
#> 70.1   7.38      1  30        1         0
#> 192   16.44      1  31        1         0
#> 177   12.53      1  75        0         0
#> 24    23.89      1  38        0         0
#> 177.1 12.53      1  75        0         0
#> 6     15.64      1  39        0         0
#> 10    10.53      1  34        0         0
#> 14    12.89      1  21        0         0
#> 88    18.37      1  47        0         0
#> 145   10.07      1  65        1         0
#> 100   16.07      1  60        0         0
#> 190   20.81      1  42        1         0
#> 56    12.21      1  60        0         0
#> 197   21.60      1  69        1         0
#> 166   19.98      1  48        0         0
#> 169   22.41      1  46        0         0
#> 66    22.13      1  53        0         0
#> 149    8.37      1  33        1         0
#> 90.1  20.94      1  50        0         1
#> 24.1  23.89      1  38        0         0
#> 199   19.81      1  NA        0         1
#> 127    3.53      1  62        0         1
#> 6.1   15.64      1  39        0         0
#> 63    22.77      1  31        1         0
#> 129   23.41      1  53        1         0
#> 43    12.10      1  61        0         1
#> 157   15.10      1  47        0         0
#> 123   13.00      1  44        1         0
#> 60    13.15      1  38        1         0
#> 24.2  23.89      1  38        0         0
#> 169.1 22.41      1  46        0         0
#> 58.1  19.34      1  39        0         0
#> 140.1 12.68      1  59        1         0
#> 169.2 22.41      1  46        0         0
#> 43.1  12.10      1  61        0         1
#> 40    18.00      1  28        1         0
#> 184   17.77      1  38        0         0
#> 26    15.77      1  49        0         1
#> 129.1 23.41      1  53        1         0
#> 149.1  8.37      1  33        1         0
#> 166.1 19.98      1  48        0         0
#> 36    21.19      1  48        0         1
#> 66.1  22.13      1  53        0         0
#> 192.1 16.44      1  31        1         0
#> 114   13.68      1  NA        0         0
#> 123.1 13.00      1  44        1         0
#> 192.2 16.44      1  31        1         0
#> 114.1 13.68      1  NA        0         0
#> 100.1 16.07      1  60        0         0
#> 175   21.91      1  43        0         0
#> 168   23.72      1  70        0         0
#> 187    9.92      1  39        1         0
#> 99    21.19      1  38        0         1
#> 93    10.33      1  52        0         1
#> 81    14.06      1  34        0         0
#> 45    17.42      1  54        0         1
#> 197.1 21.60      1  69        1         0
#> 149.2  8.37      1  33        1         0
#> 175.1 21.91      1  43        0         0
#> 107   11.18      1  54        1         0
#> 181   16.46      1  45        0         1
#> 179   18.63      1  42        0         0
#> 86    23.81      1  58        0         1
#> 52    10.42      1  52        0         1
#> 61    10.12      1  36        0         1
#> 14.1  12.89      1  21        0         0
#> 85    16.44      1  36        0         0
#> 125   15.65      1  67        1         0
#> 29    15.45      1  68        1         0
#> 159   10.55      1  50        0         1
#> 6.2   15.64      1  39        0         0
#> 190.1 20.81      1  42        1         0
#> 171   16.57      1  41        0         1
#> 199.1 19.81      1  NA        0         1
#> 167   15.55      1  56        1         0
#> 5     16.43      1  51        0         1
#> 90.2  20.94      1  50        0         1
#> 4     17.64      1  NA        0         1
#> 169.3 22.41      1  46        0         0
#> 124.1  9.73      1  NA        1         0
#> 99.1  21.19      1  38        0         1
#> 76.1  19.22      1  54        0         1
#> 129.2 23.41      1  53        1         0
#> 168.1 23.72      1  70        0         0
#> 113   22.86      1  34        0         0
#> 155   13.08      1  26        0         0
#> 159.1 10.55      1  50        0         1
#> 58.2  19.34      1  39        0         0
#> 99.2  21.19      1  38        0         1
#> 125.1 15.65      1  67        1         0
#> 70.2   7.38      1  30        1         0
#> 29.1  15.45      1  68        1         0
#> 5.1   16.43      1  51        0         1
#> 154   12.63      1  20        1         0
#> 66.2  22.13      1  53        0         0
#> 30    17.43      1  78        0         0
#> 149.3  8.37      1  33        1         0
#> 69    23.23      1  25        0         1
#> 140.2 12.68      1  59        1         0
#> 190.2 20.81      1  42        1         0
#> 87    24.00      0  27        0         0
#> 200   24.00      0  64        0         0
#> 38    24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 182   24.00      0  35        0         0
#> 102   24.00      0  49        0         0
#> 104   24.00      0  50        1         0
#> 196   24.00      0  19        0         0
#> 64    24.00      0  43        0         0
#> 162   24.00      0  51        0         0
#> 191   24.00      0  60        0         1
#> 65    24.00      0  57        1         0
#> 152   24.00      0  36        0         1
#> 54    24.00      0  53        1         0
#> 64.1  24.00      0  43        0         0
#> 144   24.00      0  28        0         1
#> 185   24.00      0  44        1         0
#> 103   24.00      0  56        1         0
#> 87.1  24.00      0  27        0         0
#> 84    24.00      0  39        0         1
#> 104.1 24.00      0  50        1         0
#> 19    24.00      0  57        0         1
#> 132   24.00      0  55        0         0
#> 198   24.00      0  66        0         1
#> 38.1  24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 44    24.00      0  56        0         0
#> 141   24.00      0  44        1         0
#> 173   24.00      0  19        0         1
#> 115   24.00      0  NA        1         0
#> 182.1 24.00      0  35        0         0
#> 9     24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 147   24.00      0  76        1         0
#> 35    24.00      0  51        0         0
#> 151   24.00      0  42        0         0
#> 161   24.00      0  45        0         0
#> 132.1 24.00      0  55        0         0
#> 46    24.00      0  71        0         0
#> 121   24.00      0  57        1         0
#> 138   24.00      0  44        1         0
#> 132.2 24.00      0  55        0         0
#> 2     24.00      0   9        0         0
#> 112   24.00      0  61        0         0
#> 27    24.00      0  63        1         0
#> 98    24.00      0  34        1         0
#> 131   24.00      0  66        0         0
#> 102.1 24.00      0  49        0         0
#> 142   24.00      0  53        0         0
#> 65.1  24.00      0  57        1         0
#> 141.1 24.00      0  44        1         0
#> 54.1  24.00      0  53        1         0
#> 121.1 24.00      0  57        1         0
#> 147.1 24.00      0  76        1         0
#> 7     24.00      0  37        1         0
#> 162.1 24.00      0  51        0         0
#> 112.1 24.00      0  61        0         0
#> 109   24.00      0  48        0         0
#> 9.1   24.00      0  31        1         0
#> 156.1 24.00      0  50        1         0
#> 28    24.00      0  67        1         0
#> 2.1   24.00      0   9        0         0
#> 186   24.00      0  45        1         0
#> 54.2  24.00      0  53        1         0
#> 9.2   24.00      0  31        1         0
#> 84.1  24.00      0  39        0         1
#> 65.2  24.00      0  57        1         0
#> 141.2 24.00      0  44        1         0
#> 121.2 24.00      0  57        1         0
#> 152.1 24.00      0  36        0         1
#> 83    24.00      0   6        0         0
#> 165   24.00      0  47        0         0
#> 122   24.00      0  66        0         0
#> 73    24.00      0  NA        0         1
#> 87.2  24.00      0  27        0         0
#> 7.1   24.00      0  37        1         0
#> 1     24.00      0  23        1         0
#> 1.1   24.00      0  23        1         0
#> 156.2 24.00      0  50        1         0
#> 162.2 24.00      0  51        0         0
#> 152.2 24.00      0  36        0         1
#> 1.2   24.00      0  23        1         0
#> 22    24.00      0  52        1         0
#> 173.1 24.00      0  19        0         1
#> 160   24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 146   24.00      0  63        1         0
#> 137   24.00      0  45        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.359         NA        NA      NA
#> 2 age, Cure model           0.0123        NA        NA      NA
#> 3 grade_ii, Cure model     -0.294         NA        NA      NA
#> 4 grade_iii, Cure model     0.449         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00488        NA        NA      NA
#> 2 grade_ii, Survival model   0.672          NA        NA      NA
#> 3 grade_iii, Survival model  0.474          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.35872           0.01228          -0.29435           0.44883  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 255.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.35871672       0.01227582      -0.29434927       0.44882991 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004880639      0.672094154      0.474354249 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.46855825 0.51752761 0.78056427 0.96780205 0.40036991 0.42943359
#>   [7] 0.37129196 0.70952224 0.31253034 0.96780205 0.54640806 0.81503262
#>  [13] 0.01356508 0.81503262 0.64640054 0.88401704 0.76297011 0.45867099
#>  [19] 0.91828613 0.60076412 0.34265937 0.83231897 0.24987333 0.38099916
#>  [25] 0.15288908 0.19396669 0.93523326 0.31253034 0.01356508 0.99191030
#>  [31] 0.64640054 0.14206052 0.08750005 0.84103058 0.70049724 0.74541541
#>  [37] 0.72752311 0.01356508 0.15288908 0.40036991 0.78056427 0.15288908
#>  [43] 0.84103058 0.47843058 0.48816073 0.61912027 0.08750005 0.93523326
#>  [49] 0.38099916 0.27202803 0.19396669 0.54640806 0.74541541 0.54640806
#>  [55] 0.60076412 0.22690940 0.05922424 0.92678367 0.27202803 0.90119586
#>  [61] 0.71851406 0.50774791 0.24987333 0.93523326 0.22690940 0.85829484
#>  [67] 0.53683303 0.44882723 0.04520809 0.89261665 0.90975496 0.76297011
#>  [73] 0.54640806 0.62833092 0.68261045 0.86692679 0.64640054 0.34265937
#>  [79] 0.52720820 0.67351044 0.58254929 0.31253034 0.15288908 0.27202803
#>  [85] 0.42943359 0.08750005 0.05922424 0.13063771 0.73646279 0.86692679
#>  [91] 0.40036991 0.27202803 0.62833092 0.96780205 0.68261045 0.58254929
#>  [97] 0.80639955 0.19396669 0.49792382 0.93523326 0.11936612 0.78056427
#> [103] 0.34265937 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    51   106   140    70    58    76   158    57    90  70.1   192   177    24 
#> 18.23 16.67 12.68  7.38 19.34 19.22 20.14 14.46 20.94  7.38 16.44 12.53 23.89 
#> 177.1     6    10    14    88   145   100   190    56   197   166   169    66 
#> 12.53 15.64 10.53 12.89 18.37 10.07 16.07 20.81 12.21 21.60 19.98 22.41 22.13 
#>   149  90.1  24.1   127   6.1    63   129    43   157   123    60  24.2 169.1 
#>  8.37 20.94 23.89  3.53 15.64 22.77 23.41 12.10 15.10 13.00 13.15 23.89 22.41 
#>  58.1 140.1 169.2  43.1    40   184    26 129.1 149.1 166.1    36  66.1 192.1 
#> 19.34 12.68 22.41 12.10 18.00 17.77 15.77 23.41  8.37 19.98 21.19 22.13 16.44 
#> 123.1 192.2 100.1   175   168   187    99    93    81    45 197.1 149.2 175.1 
#> 13.00 16.44 16.07 21.91 23.72  9.92 21.19 10.33 14.06 17.42 21.60  8.37 21.91 
#>   107   181   179    86    52    61  14.1    85   125    29   159   6.2 190.1 
#> 11.18 16.46 18.63 23.81 10.42 10.12 12.89 16.44 15.65 15.45 10.55 15.64 20.81 
#>   171   167     5  90.2 169.3  99.1  76.1 129.2 168.1   113   155 159.1  58.2 
#> 16.57 15.55 16.43 20.94 22.41 21.19 19.22 23.41 23.72 22.86 13.08 10.55 19.34 
#>  99.2 125.1  70.2  29.1   5.1   154  66.2    30 149.3    69 140.2 190.2    87 
#> 21.19 15.65  7.38 15.45 16.43 12.63 22.13 17.43  8.37 23.23 12.68 20.81 24.00 
#>   200    38    31   182   102   104   196    64   162   191    65   152    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  64.1   144   185   103  87.1    84 104.1    19   132   198  38.1   176    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141   173 182.1     9   156   147    35   151   161 132.1    46   121   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.2     2   112    27    98   131 102.1   142  65.1 141.1  54.1 121.1 147.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7 162.1 112.1   109   9.1 156.1    28   2.1   186  54.2   9.2  84.1  65.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 141.2 121.2 152.1    83   165   122  87.2   7.1     1   1.1 156.2 162.2 152.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   1.2    22 173.1   160   193   146   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[30]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004059177               0.435491643               0.438244467 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.42481313              0.01043790             -0.02532424 
#>   grade_iii, Cure model 
#>              0.46191372 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 6     15.64      1  39        0         0
#> 125   15.65      1  67        1         0
#> 166   19.98      1  48        0         0
#> 168   23.72      1  70        0         0
#> 157   15.10      1  47        0         0
#> 188   16.16      1  46        0         1
#> 79    16.23      1  54        1         0
#> 117   17.46      1  26        0         1
#> 85    16.44      1  36        0         0
#> 51    18.23      1  83        0         1
#> 125.1 15.65      1  67        1         0
#> 179   18.63      1  42        0         0
#> 14    12.89      1  21        0         0
#> 66    22.13      1  53        0         0
#> 108   18.29      1  39        0         1
#> 68    20.62      1  44        0         0
#> 139   21.49      1  63        1         0
#> 63    22.77      1  31        1         0
#> 157.1 15.10      1  47        0         0
#> 85.1  16.44      1  36        0         0
#> 5     16.43      1  51        0         1
#> 49    12.19      1  48        1         0
#> 128   20.35      1  35        0         1
#> 129   23.41      1  53        1         0
#> 24    23.89      1  38        0         0
#> 76    19.22      1  54        0         1
#> 26    15.77      1  49        0         1
#> 56    12.21      1  60        0         0
#> 123   13.00      1  44        1         0
#> 125.2 15.65      1  67        1         0
#> 184   17.77      1  38        0         0
#> 168.1 23.72      1  70        0         0
#> 49.1  12.19      1  48        1         0
#> 6.1   15.64      1  39        0         0
#> 63.1  22.77      1  31        1         0
#> 70     7.38      1  30        1         0
#> 125.3 15.65      1  67        1         0
#> 93    10.33      1  52        0         1
#> 97    19.14      1  65        0         1
#> 99    21.19      1  38        0         1
#> 93.1  10.33      1  52        0         1
#> 29    15.45      1  68        1         0
#> 68.1  20.62      1  44        0         0
#> 169   22.41      1  46        0         0
#> 140   12.68      1  59        1         0
#> 145   10.07      1  65        1         0
#> 181   16.46      1  45        0         1
#> 124    9.73      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 32    20.90      1  37        1         0
#> 117.1 17.46      1  26        0         1
#> 55    19.34      1  69        0         1
#> 52    10.42      1  52        0         1
#> 41    18.02      1  40        1         0
#> 49.2  12.19      1  48        1         0
#> 97.1  19.14      1  65        0         1
#> 187    9.92      1  39        1         0
#> 96    14.54      1  33        0         1
#> 155   13.08      1  26        0         0
#> 100   16.07      1  60        0         0
#> 107   11.18      1  54        1         0
#> 153   21.33      1  55        1         0
#> 187.1  9.92      1  39        1         0
#> 63.2  22.77      1  31        1         0
#> 89    11.44      1  NA        0         0
#> 128.1 20.35      1  35        0         1
#> 4     17.64      1  NA        0         1
#> 30    17.43      1  78        0         0
#> 166.1 19.98      1  48        0         0
#> 23    16.92      1  61        0         0
#> 177   12.53      1  75        0         0
#> 52.1  10.42      1  52        0         1
#> 57    14.46      1  45        0         1
#> 175   21.91      1  43        0         0
#> 139.1 21.49      1  63        1         0
#> 60    13.15      1  38        1         0
#> 179.1 18.63      1  42        0         0
#> 92    22.92      1  47        0         1
#> 77     7.27      1  67        0         1
#> 157.2 15.10      1  47        0         0
#> 166.2 19.98      1  48        0         0
#> 110   17.56      1  65        0         1
#> 99.1  21.19      1  38        0         1
#> 16     8.71      1  71        0         1
#> 78    23.88      1  43        0         0
#> 170   19.54      1  43        0         1
#> 181.1 16.46      1  45        0         1
#> 101    9.97      1  10        0         1
#> 150   20.33      1  48        0         0
#> 4.1   17.64      1  NA        0         1
#> 40    18.00      1  28        1         0
#> 110.1 17.56      1  65        0         1
#> 101.1  9.97      1  10        0         1
#> 177.1 12.53      1  75        0         0
#> 134   17.81      1  47        1         0
#> 199   19.81      1  NA        0         1
#> 140.1 12.68      1  59        1         0
#> 136   21.83      1  43        0         1
#> 166.3 19.98      1  48        0         0
#> 13    14.34      1  54        0         1
#> 164   23.60      1  76        0         1
#> 77.1   7.27      1  67        0         1
#> 50    10.02      1  NA        1         0
#> 150.1 20.33      1  48        0         0
#> 101.2  9.97      1  10        0         1
#> 113   22.86      1  34        0         0
#> 88    18.37      1  47        0         0
#> 164.1 23.60      1  76        0         1
#> 157.3 15.10      1  47        0         0
#> 93.2  10.33      1  52        0         1
#> 108.1 18.29      1  39        0         1
#> 100.1 16.07      1  60        0         0
#> 200   24.00      0  64        0         0
#> 28    24.00      0  67        1         0
#> 122   24.00      0  66        0         0
#> 147   24.00      0  76        1         0
#> 27    24.00      0  63        1         0
#> 126   24.00      0  48        0         0
#> 138   24.00      0  44        1         0
#> 74    24.00      0  43        0         1
#> 44    24.00      0  56        0         0
#> 102   24.00      0  49        0         0
#> 82    24.00      0  34        0         0
#> 131   24.00      0  66        0         0
#> 46    24.00      0  71        0         0
#> 83    24.00      0   6        0         0
#> 152   24.00      0  36        0         1
#> 138.1 24.00      0  44        1         0
#> 64    24.00      0  43        0         0
#> 80    24.00      0  41        0         0
#> 53    24.00      0  32        0         1
#> 146   24.00      0  63        1         0
#> 73    24.00      0  NA        0         1
#> 151   24.00      0  42        0         0
#> 198   24.00      0  66        0         1
#> 27.1  24.00      0  63        1         0
#> 48    24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 2     24.00      0   9        0         0
#> 122.1 24.00      0  66        0         0
#> 173   24.00      0  19        0         1
#> 98    24.00      0  34        1         0
#> 176   24.00      0  43        0         1
#> 19    24.00      0  57        0         1
#> 71    24.00      0  51        0         0
#> 80.1  24.00      0  41        0         0
#> 94    24.00      0  51        0         1
#> 144   24.00      0  28        0         1
#> 20    24.00      0  46        1         0
#> 67    24.00      0  25        0         0
#> 103   24.00      0  56        1         0
#> 2.1   24.00      0   9        0         0
#> 98.1  24.00      0  34        1         0
#> 116   24.00      0  58        0         1
#> 98.2  24.00      0  34        1         0
#> 172   24.00      0  41        0         0
#> 131.1 24.00      0  66        0         0
#> 11    24.00      0  42        0         1
#> 64.1  24.00      0  43        0         0
#> 31    24.00      0  36        0         1
#> 186   24.00      0  45        1         0
#> 144.1 24.00      0  28        0         1
#> 34    24.00      0  36        0         0
#> 65    24.00      0  57        1         0
#> 146.1 24.00      0  63        1         0
#> 176.1 24.00      0  43        0         1
#> 142   24.00      0  53        0         0
#> 98.3  24.00      0  34        1         0
#> 27.2  24.00      0  63        1         0
#> 118   24.00      0  44        1         0
#> 11.1  24.00      0  42        0         1
#> 67.1  24.00      0  25        0         0
#> 102.1 24.00      0  49        0         0
#> 2.2   24.00      0   9        0         0
#> 115   24.00      0  NA        1         0
#> 120.1 24.00      0  68        0         1
#> 163   24.00      0  66        0         0
#> 185   24.00      0  44        1         0
#> 103.1 24.00      0  56        1         0
#> 109   24.00      0  48        0         0
#> 95    24.00      0  68        0         1
#> 54    24.00      0  53        1         0
#> 163.1 24.00      0  66        0         0
#> 33    24.00      0  53        0         0
#> 65.1  24.00      0  57        1         0
#> 135   24.00      0  58        1         0
#> 116.1 24.00      0  58        0         1
#> 118.1 24.00      0  44        1         0
#> 46.1  24.00      0  71        0         0
#> 87    24.00      0  27        0         0
#> 172.1 24.00      0  41        0         0
#> 19.1  24.00      0  57        0         1
#> 48.1  24.00      0  31        1         0
#> 31.1  24.00      0  36        0         1
#> 34.1  24.00      0  36        0         0
#> 173.1 24.00      0  19        0         1
#> 87.1  24.00      0  27        0         0
#> 94.1  24.00      0  51        0         1
#> 103.2 24.00      0  56        1         0
#> 67.2  24.00      0  25        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.425         NA        NA      NA
#> 2 age, Cure model           0.0104        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0253        NA        NA      NA
#> 4 grade_iii, Cure model     0.462         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00406        NA        NA      NA
#> 2 grade_ii, Survival model   0.435          NA        NA      NA
#> 3 grade_iii, Survival model  0.438          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.42481           0.01044          -0.02532           0.46191  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.1 
#> Residual Deviance: 260.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.42481313       0.01043790      -0.02532424       0.46191372 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004059177      0.435491643      0.438244467 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.667554245 0.632455421 0.297814489 0.027940869 0.694376905 0.596319454
#>   [7] 0.587246600 0.505486215 0.559995823 0.440255139 0.632455421 0.383227751
#>  [13] 0.783488272 0.149865185 0.421442852 0.240847973 0.181761473 0.110596451
#>  [19] 0.694376905 0.559995823 0.578139775 0.836621430 0.260079473 0.075163669
#>  [25] 0.004825908 0.354807706 0.623400899 0.827698881 0.774600616 0.632455421
#>  [31] 0.477818620 0.027940869 0.836621430 0.667554245 0.110596451 0.974681105
#>  [37] 0.632455421 0.889162212 0.364427822 0.211935009 0.889162212 0.685410289
#>  [43] 0.240847973 0.139386762 0.792384176 0.915034011 0.541931488 0.402173520
#>  [49] 0.231161742 0.505486215 0.345123306 0.871699418 0.449742127 0.836621430
#>  [55] 0.364427822 0.949205726 0.729867207 0.765682991 0.605353005 0.862878559
#>  [61] 0.201784200 0.949205726 0.110596451 0.260079473 0.523568727 0.297814489
#>  [67] 0.532732752 0.809991010 0.871699418 0.738866680 0.160487622 0.181761473
#>  [73] 0.756775758 0.383227751 0.087212599 0.983162565 0.694376905 0.297814489
#>  [79] 0.487144809 0.211935009 0.966172361 0.015499068 0.335392137 0.541931488
#>  [85] 0.923725038 0.278833776 0.459166688 0.487144809 0.923725038 0.809991010
#>  [91] 0.468518384 0.792384176 0.171224093 0.297814489 0.747834347 0.052177831
#>  [97] 0.983162565 0.278833776 0.923725038 0.098814655 0.411788606 0.052177831
#> [103] 0.694376905 0.889162212 0.421442852 0.605353005 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>     6   125   166   168   157   188    79   117    85    51 125.1   179    14 
#> 15.64 15.65 19.98 23.72 15.10 16.16 16.23 17.46 16.44 18.23 15.65 18.63 12.89 
#>    66   108    68   139    63 157.1  85.1     5    49   128   129    24    76 
#> 22.13 18.29 20.62 21.49 22.77 15.10 16.44 16.43 12.19 20.35 23.41 23.89 19.22 
#>    26    56   123 125.2   184 168.1  49.1   6.1  63.1    70 125.3    93    97 
#> 15.77 12.21 13.00 15.65 17.77 23.72 12.19 15.64 22.77  7.38 15.65 10.33 19.14 
#>    99  93.1    29  68.1   169   140   145   181     8    32 117.1    55    52 
#> 21.19 10.33 15.45 20.62 22.41 12.68 10.07 16.46 18.43 20.90 17.46 19.34 10.42 
#>    41  49.2  97.1   187    96   155   100   107   153 187.1  63.2 128.1    30 
#> 18.02 12.19 19.14  9.92 14.54 13.08 16.07 11.18 21.33  9.92 22.77 20.35 17.43 
#> 166.1    23   177  52.1    57   175 139.1    60 179.1    92    77 157.2 166.2 
#> 19.98 16.92 12.53 10.42 14.46 21.91 21.49 13.15 18.63 22.92  7.27 15.10 19.98 
#>   110  99.1    16    78   170 181.1   101   150    40 110.1 101.1 177.1   134 
#> 17.56 21.19  8.71 23.88 19.54 16.46  9.97 20.33 18.00 17.56  9.97 12.53 17.81 
#> 140.1   136 166.3    13   164  77.1 150.1 101.2   113    88 164.1 157.3  93.2 
#> 12.68 21.83 19.98 14.34 23.60  7.27 20.33  9.97 22.86 18.37 23.60 15.10 10.33 
#> 108.1 100.1   200    28   122   147    27   126   138    74    44   102    82 
#> 18.29 16.07 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131    46    83   152 138.1    64    80    53   146   151   198  27.1    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120     2 122.1   173    98   176    19    71  80.1    94   144    20    67 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103   2.1  98.1   116  98.2   172 131.1    11  64.1    31   186 144.1    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    65 146.1 176.1   142  98.3  27.2   118  11.1  67.1 102.1   2.2 120.1   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185 103.1   109    95    54 163.1    33  65.1   135 116.1 118.1  46.1    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.1  19.1  48.1  31.1  34.1 173.1  87.1  94.1 103.2  67.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[31]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.007285151               0.508610979               0.482975902 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.377323032            -0.004390979            -0.523307569 
#>   grade_iii, Cure model 
#>             0.430746911 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 128   20.35      1  35        0         1
#> 199   19.81      1  NA        0         1
#> 5     16.43      1  51        0         1
#> 5.1   16.43      1  51        0         1
#> 88    18.37      1  47        0         0
#> 105   19.75      1  60        0         0
#> 69    23.23      1  25        0         1
#> 14    12.89      1  21        0         0
#> 60    13.15      1  38        1         0
#> 58    19.34      1  39        0         0
#> 128.1 20.35      1  35        0         1
#> 93    10.33      1  52        0         1
#> 134   17.81      1  47        1         0
#> 43    12.10      1  61        0         1
#> 43.1  12.10      1  61        0         1
#> 13    14.34      1  54        0         1
#> 93.1  10.33      1  52        0         1
#> 89    11.44      1  NA        0         0
#> 113   22.86      1  34        0         0
#> 168   23.72      1  70        0         0
#> 66    22.13      1  53        0         0
#> 23    16.92      1  61        0         0
#> 8     18.43      1  32        0         0
#> 25     6.32      1  34        1         0
#> 26    15.77      1  49        0         1
#> 15    22.68      1  48        0         0
#> 76    19.22      1  54        0         1
#> 89.1  11.44      1  NA        0         0
#> 124    9.73      1  NA        1         0
#> 36    21.19      1  48        0         1
#> 77     7.27      1  67        0         1
#> 125   15.65      1  67        1         0
#> 99    21.19      1  38        0         1
#> 68    20.62      1  44        0         0
#> 159   10.55      1  50        0         1
#> 10    10.53      1  34        0         0
#> 114   13.68      1  NA        0         0
#> 179   18.63      1  42        0         0
#> 59    10.16      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 117   17.46      1  26        0         1
#> 32    20.90      1  37        1         0
#> 111   17.45      1  47        0         1
#> 85    16.44      1  36        0         0
#> 97    19.14      1  65        0         1
#> 123   13.00      1  44        1         0
#> 108   18.29      1  39        0         1
#> 107   11.18      1  54        1         0
#> 184   17.77      1  38        0         0
#> 107.1 11.18      1  54        1         0
#> 157   15.10      1  47        0         0
#> 149    8.37      1  33        1         0
#> 158   20.14      1  74        1         0
#> 14.1  12.89      1  21        0         0
#> 159.1 10.55      1  50        0         1
#> 175   21.91      1  43        0         0
#> 50    10.02      1  NA        1         0
#> 184.1 17.77      1  38        0         0
#> 29    15.45      1  68        1         0
#> 166   19.98      1  48        0         0
#> 199.1 19.81      1  NA        0         1
#> 113.1 22.86      1  34        0         0
#> 111.1 17.45      1  47        0         1
#> 18    15.21      1  49        1         0
#> 89.2  11.44      1  NA        0         0
#> 166.1 19.98      1  48        0         0
#> 14.2  12.89      1  21        0         0
#> 32.1  20.90      1  37        1         0
#> 184.2 17.77      1  38        0         0
#> 50.1  10.02      1  NA        1         0
#> 129   23.41      1  53        1         0
#> 42    12.43      1  49        0         1
#> 6     15.64      1  39        0         0
#> 52    10.42      1  52        0         1
#> 130   16.47      1  53        0         1
#> 88.1  18.37      1  47        0         0
#> 25.1   6.32      1  34        1         0
#> 100   16.07      1  60        0         0
#> 113.2 22.86      1  34        0         0
#> 181   16.46      1  45        0         1
#> 159.2 10.55      1  50        0         1
#> 76.1  19.22      1  54        0         1
#> 70     7.38      1  30        1         0
#> 166.2 19.98      1  48        0         0
#> 43.2  12.10      1  61        0         1
#> 136   21.83      1  43        0         1
#> 16     8.71      1  71        0         1
#> 158.1 20.14      1  74        1         0
#> 188   16.16      1  46        0         1
#> 59.1  10.16      1  NA        1         0
#> 139   21.49      1  63        1         0
#> 81    14.06      1  34        0         0
#> 108.1 18.29      1  39        0         1
#> 85.1  16.44      1  36        0         0
#> 150   20.33      1  48        0         0
#> 78    23.88      1  43        0         0
#> 23.1  16.92      1  61        0         0
#> 136.1 21.83      1  43        0         1
#> 128.2 20.35      1  35        0         1
#> 181.1 16.46      1  45        0         1
#> 89.3  11.44      1  NA        0         0
#> 166.3 19.98      1  48        0         0
#> 108.2 18.29      1  39        0         1
#> 179.1 18.63      1  42        0         0
#> 117.1 17.46      1  26        0         1
#> 167   15.55      1  56        1         0
#> 177   12.53      1  75        0         0
#> 136.2 21.83      1  43        0         1
#> 140   12.68      1  59        1         0
#> 194   22.40      1  38        0         1
#> 60.1  13.15      1  38        1         0
#> 117.2 17.46      1  26        0         1
#> 20    24.00      0  46        1         0
#> 178   24.00      0  52        1         0
#> 156   24.00      0  50        1         0
#> 33    24.00      0  53        0         0
#> 151   24.00      0  42        0         0
#> 116   24.00      0  58        0         1
#> 103   24.00      0  56        1         0
#> 115   24.00      0  NA        1         0
#> 126   24.00      0  48        0         0
#> 103.1 24.00      0  56        1         0
#> 47    24.00      0  38        0         1
#> 115.1 24.00      0  NA        1         0
#> 148   24.00      0  61        1         0
#> 178.1 24.00      0  52        1         0
#> 112   24.00      0  61        0         0
#> 182   24.00      0  35        0         0
#> 98    24.00      0  34        1         0
#> 191   24.00      0  60        0         1
#> 47.1  24.00      0  38        0         1
#> 20.1  24.00      0  46        1         0
#> 118   24.00      0  44        1         0
#> 28    24.00      0  67        1         0
#> 44    24.00      0  56        0         0
#> 46    24.00      0  71        0         0
#> 143   24.00      0  51        0         0
#> 1     24.00      0  23        1         0
#> 46.1  24.00      0  71        0         0
#> 172   24.00      0  41        0         0
#> 47.2  24.00      0  38        0         1
#> 118.1 24.00      0  44        1         0
#> 75    24.00      0  21        1         0
#> 176   24.00      0  43        0         1
#> 146   24.00      0  63        1         0
#> 47.3  24.00      0  38        0         1
#> 95    24.00      0  68        0         1
#> 126.1 24.00      0  48        0         0
#> 103.2 24.00      0  56        1         0
#> 94    24.00      0  51        0         1
#> 67    24.00      0  25        0         0
#> 148.1 24.00      0  61        1         0
#> 131   24.00      0  66        0         0
#> 1.1   24.00      0  23        1         0
#> 17    24.00      0  38        0         1
#> 17.1  24.00      0  38        0         1
#> 182.1 24.00      0  35        0         0
#> 21    24.00      0  47        0         0
#> 131.1 24.00      0  66        0         0
#> 75.1  24.00      0  21        1         0
#> 156.1 24.00      0  50        1         0
#> 119   24.00      0  17        0         0
#> 94.1  24.00      0  51        0         1
#> 116.1 24.00      0  58        0         1
#> 47.4  24.00      0  38        0         1
#> 131.2 24.00      0  66        0         0
#> 12    24.00      0  63        0         0
#> 172.1 24.00      0  41        0         0
#> 80    24.00      0  41        0         0
#> 116.2 24.00      0  58        0         1
#> 17.2  24.00      0  38        0         1
#> 104   24.00      0  50        1         0
#> 17.3  24.00      0  38        0         1
#> 191.1 24.00      0  60        0         1
#> 132   24.00      0  55        0         0
#> 67.1  24.00      0  25        0         0
#> 162   24.00      0  51        0         0
#> 152   24.00      0  36        0         1
#> 75.2  24.00      0  21        1         0
#> 87    24.00      0  27        0         0
#> 73    24.00      0  NA        0         1
#> 193   24.00      0  45        0         1
#> 98.1  24.00      0  34        1         0
#> 182.2 24.00      0  35        0         0
#> 34    24.00      0  36        0         0
#> 20.2  24.00      0  46        1         0
#> 44.1  24.00      0  56        0         0
#> 121   24.00      0  57        1         0
#> 141   24.00      0  44        1         0
#> 126.2 24.00      0  48        0         0
#> 94.2  24.00      0  51        0         1
#> 174   24.00      0  49        1         0
#> 138   24.00      0  44        1         0
#> 116.3 24.00      0  58        0         1
#> 147   24.00      0  76        1         0
#> 46.2  24.00      0  71        0         0
#> 80.1  24.00      0  41        0         0
#> 148.2 24.00      0  61        1         0
#> 144   24.00      0  28        0         1
#> 115.2 24.00      0  NA        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.377          NA        NA      NA
#> 2 age, Cure model         -0.00439        NA        NA      NA
#> 3 grade_ii, Cure model    -0.523          NA        NA      NA
#> 4 grade_iii, Cure model    0.431          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00729        NA        NA      NA
#> 2 grade_ii, Survival model   0.509          NA        NA      NA
#> 3 grade_iii, Survival model  0.483          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.377323         -0.004391         -0.523308          0.430747  
#> 
#> Degrees of Freedom: 183 Total (i.e. Null);  180 Residual
#> Null Deviance:	    253.7 
#> Residual Deviance: 247.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.377323032     -0.004390979     -0.523307569      0.430746911 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.007285151      0.508610979      0.482975902 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.43533571 0.76085410 0.76085410 0.60309178 0.53291246 0.16464494
#>   [7] 0.86294234 0.84487466 0.54222317 0.43533571 0.95341911 0.64354765
#>  [13] 0.89839874 0.89839874 0.83254038 0.95341911 0.18838377 0.09865279
#>  [19] 0.28457944 0.71153922 0.59459157 0.98480628 0.78772042 0.24585201
#>  [25] 0.55148164 0.37596127 0.97965967 0.79431762 0.37596127 0.42376341
#>  [31] 0.92639617 0.94260824 0.57764955 0.99495304 0.67455593 0.40070018
#>  [37] 0.69693916 0.74702961 0.56902429 0.85694202 0.61978168 0.91529664
#>  [43] 0.65143723 0.91529664 0.82630200 0.96924721 0.47702641 0.86294234
#>  [49] 0.92639617 0.30259020 0.65143723 0.81372025 0.49629283 0.18838377
#>  [55] 0.69693916 0.82004434 0.49629283 0.86294234 0.40070018 0.65143723
#>  [61] 0.13718107 0.89256161 0.80082248 0.94803475 0.72597356 0.60309178
#>  [67] 0.98480628 0.78104968 0.18838377 0.73312799 0.92639617 0.55148164
#>  [73] 0.97446831 0.49629283 0.89839874 0.32021543 0.96399456 0.47702641
#>  [79] 0.77434756 0.36226479 0.83871389 0.61978168 0.74702961 0.46649881
#>  [85] 0.04749136 0.71153922 0.32021543 0.43533571 0.73312799 0.49629283
#>  [91] 0.61978168 0.57764955 0.67455593 0.80731002 0.88667380 0.32021543
#>  [97] 0.88075743 0.26601562 0.84487466 0.67455593 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   128     5   5.1    88   105    69    14    60    58 128.1    93   134    43 
#> 20.35 16.43 16.43 18.37 19.75 23.23 12.89 13.15 19.34 20.35 10.33 17.81 12.10 
#>  43.1    13  93.1   113   168    66    23     8    25    26    15    76    36 
#> 12.10 14.34 10.33 22.86 23.72 22.13 16.92 18.43  6.32 15.77 22.68 19.22 21.19 
#>    77   125    99    68   159    10   179    91   117    32   111    85    97 
#>  7.27 15.65 21.19 20.62 10.55 10.53 18.63  5.33 17.46 20.90 17.45 16.44 19.14 
#>   123   108   107   184 107.1   157   149   158  14.1 159.1   175 184.1    29 
#> 13.00 18.29 11.18 17.77 11.18 15.10  8.37 20.14 12.89 10.55 21.91 17.77 15.45 
#>   166 113.1 111.1    18 166.1  14.2  32.1 184.2   129    42     6    52   130 
#> 19.98 22.86 17.45 15.21 19.98 12.89 20.90 17.77 23.41 12.43 15.64 10.42 16.47 
#>  88.1  25.1   100 113.2   181 159.2  76.1    70 166.2  43.2   136    16 158.1 
#> 18.37  6.32 16.07 22.86 16.46 10.55 19.22  7.38 19.98 12.10 21.83  8.71 20.14 
#>   188   139    81 108.1  85.1   150    78  23.1 136.1 128.2 181.1 166.3 108.2 
#> 16.16 21.49 14.06 18.29 16.44 20.33 23.88 16.92 21.83 20.35 16.46 19.98 18.29 
#> 179.1 117.1   167   177 136.2   140   194  60.1 117.2    20   178   156    33 
#> 18.63 17.46 15.55 12.53 21.83 12.68 22.40 13.15 17.46 24.00 24.00 24.00 24.00 
#>   151   116   103   126 103.1    47   148 178.1   112   182    98   191  47.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  20.1   118    28    44    46   143     1  46.1   172  47.2 118.1    75   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146  47.3    95 126.1 103.2    94    67 148.1   131   1.1    17  17.1 182.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21 131.1  75.1 156.1   119  94.1 116.1  47.4 131.2    12 172.1    80 116.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  17.2   104  17.3 191.1   132  67.1   162   152  75.2    87   193  98.1 182.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34  20.2  44.1   121   141 126.2  94.2   174   138 116.3   147  46.2  80.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 148.2   144 
#> 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[32]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              0.0007723874              0.2938851078              0.2276429621 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.71017073              0.01539254              0.09334648 
#>   grade_iii, Cure model 
#>              0.40750850 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 30    17.43      1  78        0         0
#> 129   23.41      1  53        1         0
#> 70     7.38      1  30        1         0
#> 76    19.22      1  54        0         1
#> 52    10.42      1  52        0         1
#> 86    23.81      1  58        0         1
#> 85    16.44      1  36        0         0
#> 81    14.06      1  34        0         0
#> 15    22.68      1  48        0         0
#> 177   12.53      1  75        0         0
#> 169   22.41      1  46        0         0
#> 43    12.10      1  61        0         1
#> 63    22.77      1  31        1         0
#> 58    19.34      1  39        0         0
#> 18    15.21      1  49        1         0
#> 50    10.02      1  NA        1         0
#> 52.1  10.42      1  52        0         1
#> 167   15.55      1  56        1         0
#> 29    15.45      1  68        1         0
#> 101    9.97      1  10        0         1
#> 50.1  10.02      1  NA        1         0
#> 45    17.42      1  54        0         1
#> 24    23.89      1  38        0         0
#> 139   21.49      1  63        1         0
#> 179   18.63      1  42        0         0
#> 184   17.77      1  38        0         0
#> 145   10.07      1  65        1         0
#> 99    21.19      1  38        0         1
#> 183    9.24      1  67        1         0
#> 140   12.68      1  59        1         0
#> 60    13.15      1  38        1         0
#> 124    9.73      1  NA        1         0
#> 158   20.14      1  74        1         0
#> 36    21.19      1  48        0         1
#> 149    8.37      1  33        1         0
#> 128   20.35      1  35        0         1
#> 105   19.75      1  60        0         0
#> 81.1  14.06      1  34        0         0
#> 124.1  9.73      1  NA        1         0
#> 113   22.86      1  34        0         0
#> 181   16.46      1  45        0         1
#> 166   19.98      1  48        0         0
#> 184.1 17.77      1  38        0         0
#> 157   15.10      1  47        0         0
#> 97    19.14      1  65        0         1
#> 81.2  14.06      1  34        0         0
#> 129.1 23.41      1  53        1         0
#> 45.1  17.42      1  54        0         1
#> 139.1 21.49      1  63        1         0
#> 154   12.63      1  20        1         0
#> 127    3.53      1  62        0         1
#> 179.1 18.63      1  42        0         0
#> 76.1  19.22      1  54        0         1
#> 100   16.07      1  60        0         0
#> 168   23.72      1  70        0         0
#> 184.2 17.77      1  38        0         0
#> 105.1 19.75      1  60        0         0
#> 63.1  22.77      1  31        1         0
#> 10    10.53      1  34        0         0
#> 89    11.44      1  NA        0         0
#> 106   16.67      1  49        1         0
#> 110   17.56      1  65        0         1
#> 45.2  17.42      1  54        0         1
#> 183.1  9.24      1  67        1         0
#> 106.1 16.67      1  49        1         0
#> 195   11.76      1  NA        1         0
#> 199   19.81      1  NA        0         1
#> 14    12.89      1  21        0         0
#> 40    18.00      1  28        1         0
#> 139.2 21.49      1  63        1         0
#> 59    10.16      1  NA        1         0
#> 128.1 20.35      1  35        0         1
#> 5     16.43      1  51        0         1
#> 86.1  23.81      1  58        0         1
#> 149.1  8.37      1  33        1         0
#> 30.1  17.43      1  78        0         0
#> 134   17.81      1  47        1         0
#> 40.1  18.00      1  28        1         0
#> 157.1 15.10      1  47        0         0
#> 77     7.27      1  67        0         1
#> 32    20.90      1  37        1         0
#> 42    12.43      1  49        0         1
#> 195.1 11.76      1  NA        1         0
#> 149.2  8.37      1  33        1         0
#> 92    22.92      1  47        0         1
#> 4     17.64      1  NA        0         1
#> 130   16.47      1  53        0         1
#> 29.1  15.45      1  68        1         0
#> 170   19.54      1  43        0         1
#> 63.2  22.77      1  31        1         0
#> 113.1 22.86      1  34        0         0
#> 18.1  15.21      1  49        1         0
#> 66    22.13      1  53        0         0
#> 177.1 12.53      1  75        0         0
#> 166.1 19.98      1  48        0         0
#> 23    16.92      1  61        0         0
#> 26    15.77      1  49        0         1
#> 52.2  10.42      1  52        0         1
#> 153   21.33      1  55        1         0
#> 91     5.33      1  61        0         1
#> 108   18.29      1  39        0         1
#> 79    16.23      1  54        1         0
#> 123   13.00      1  44        1         0
#> 189   10.51      1  NA        1         0
#> 149.3  8.37      1  33        1         0
#> 97.1  19.14      1  65        0         1
#> 18.2  15.21      1  49        1         0
#> 111   17.45      1  47        0         1
#> 171   16.57      1  41        0         1
#> 113.2 22.86      1  34        0         0
#> 195.2 11.76      1  NA        1         0
#> 50.2  10.02      1  NA        1         0
#> 135   24.00      0  58        1         0
#> 182   24.00      0  35        0         0
#> 80    24.00      0  41        0         0
#> 156   24.00      0  50        1         0
#> 196   24.00      0  19        0         0
#> 65    24.00      0  57        1         0
#> 118   24.00      0  44        1         0
#> 143   24.00      0  51        0         0
#> 135.1 24.00      0  58        1         0
#> 47    24.00      0  38        0         1
#> 48    24.00      0  31        1         0
#> 27    24.00      0  63        1         0
#> 62    24.00      0  71        0         0
#> 1     24.00      0  23        1         0
#> 27.1  24.00      0  63        1         0
#> 62.1  24.00      0  71        0         0
#> 2     24.00      0   9        0         0
#> 104   24.00      0  50        1         0
#> 2.1   24.00      0   9        0         0
#> 98    24.00      0  34        1         0
#> 11    24.00      0  42        0         1
#> 102   24.00      0  49        0         0
#> 54    24.00      0  53        1         0
#> 118.1 24.00      0  44        1         0
#> 143.1 24.00      0  51        0         0
#> 47.1  24.00      0  38        0         1
#> 75    24.00      0  21        1         0
#> 116   24.00      0  58        0         1
#> 198   24.00      0  66        0         1
#> 115   24.00      0  NA        1         0
#> 186   24.00      0  45        1         0
#> 73    24.00      0  NA        0         1
#> 148   24.00      0  61        1         0
#> 200   24.00      0  64        0         0
#> 47.2  24.00      0  38        0         1
#> 20    24.00      0  46        1         0
#> 152   24.00      0  36        0         1
#> 33    24.00      0  53        0         0
#> 193   24.00      0  45        0         1
#> 67    24.00      0  25        0         0
#> 115.1 24.00      0  NA        1         0
#> 83    24.00      0   6        0         0
#> 12    24.00      0  63        0         0
#> 147   24.00      0  76        1         0
#> 142   24.00      0  53        0         0
#> 141   24.00      0  44        1         0
#> 19    24.00      0  57        0         1
#> 144   24.00      0  28        0         1
#> 3     24.00      0  31        1         0
#> 112   24.00      0  61        0         0
#> 33.1  24.00      0  53        0         0
#> 152.1 24.00      0  36        0         1
#> 95    24.00      0  68        0         1
#> 104.1 24.00      0  50        1         0
#> 165   24.00      0  47        0         0
#> 84    24.00      0  39        0         1
#> 64    24.00      0  43        0         0
#> 22    24.00      0  52        1         0
#> 178   24.00      0  52        1         0
#> 178.1 24.00      0  52        1         0
#> 115.2 24.00      0  NA        1         0
#> 178.2 24.00      0  52        1         0
#> 94    24.00      0  51        0         1
#> 162   24.00      0  51        0         0
#> 20.1  24.00      0  46        1         0
#> 182.1 24.00      0  35        0         0
#> 173   24.00      0  19        0         1
#> 143.2 24.00      0  51        0         0
#> 35    24.00      0  51        0         0
#> 173.1 24.00      0  19        0         1
#> 173.2 24.00      0  19        0         1
#> 151   24.00      0  42        0         0
#> 104.2 24.00      0  50        1         0
#> 67.1  24.00      0  25        0         0
#> 47.3  24.00      0  38        0         1
#> 102.1 24.00      0  49        0         0
#> 182.2 24.00      0  35        0         0
#> 174   24.00      0  49        1         0
#> 46    24.00      0  71        0         0
#> 22.1  24.00      0  52        1         0
#> 141.1 24.00      0  44        1         0
#> 193.1 24.00      0  45        0         1
#> 174.1 24.00      0  49        1         0
#> 34    24.00      0  36        0         0
#> 72    24.00      0  40        0         1
#> 120   24.00      0  68        0         1
#> 33.2  24.00      0  53        0         0
#> 132   24.00      0  55        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.710         NA        NA      NA
#> 2 age, Cure model           0.0154        NA        NA      NA
#> 3 grade_ii, Cure model      0.0933        NA        NA      NA
#> 4 grade_iii, Cure model     0.408         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.000772        NA        NA      NA
#> 2 grade_ii, Survival model  0.294           NA        NA      NA
#> 3 grade_iii, Survival model 0.228           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.71017           0.01539           0.09335           0.40751  
#> 
#> Degrees of Freedom: 182 Total (i.e. Null);  179 Residual
#> Null Deviance:	    252.5 
#> Residual Deviance: 249 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.71017073       0.01539254       0.09334648       0.40750850 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     0.0007723874     0.2938851078     0.2276429621 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.55149026 0.08887800 0.96766969 0.40654687 0.87757384 0.04159574
#>   [7] 0.65256365 0.76683172 0.20172427 0.83530835 0.21391009 0.86068715
#>  [13] 0.16725755 0.39631437 0.72390491 0.87757384 0.69753027 0.70641944
#>  [19] 0.91077369 0.57024135 0.01575128 0.23820489 0.44605784 0.50425463
#>  [25] 0.90243954 0.28202509 0.91908766 0.81826134 0.79249579 0.33489351
#>  [31] 0.28202509 0.93551821 0.31416983 0.36570547 0.76683172 0.12995646
#>  [37] 0.64349830 0.34528350 0.50425463 0.74961009 0.42644880 0.76683172
#>  [43] 0.08887800 0.57024135 0.23820489 0.82680077 0.99194893 0.44605784
#>  [49] 0.40654687 0.67962526 0.07188200 0.50425463 0.36570547 0.16725755
#>  [55] 0.86913159 0.60701706 0.53248641 0.57024135 0.91908766 0.60701706
#>  [61] 0.80968574 0.47547276 0.23820489 0.31416983 0.66162546 0.04159574
#>  [67] 0.93551821 0.55149026 0.49464655 0.47547276 0.74961009 0.97578423
#>  [73] 0.30342238 0.85221643 0.93551821 0.11601050 0.63439446 0.70641944
#>  [79] 0.38607379 0.16725755 0.12995646 0.72390491 0.22607104 0.83530835
#>  [85] 0.34528350 0.59772032 0.68859546 0.87757384 0.27085838 0.98387708
#>  [91] 0.46563865 0.67064944 0.80110865 0.93551821 0.42644880 0.72390491
#>  [97] 0.54201349 0.62525020 0.12995646 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    30   129    70    76    52    86    85    81    15   177   169    43    63 
#> 17.43 23.41  7.38 19.22 10.42 23.81 16.44 14.06 22.68 12.53 22.41 12.10 22.77 
#>    58    18  52.1   167    29   101    45    24   139   179   184   145    99 
#> 19.34 15.21 10.42 15.55 15.45  9.97 17.42 23.89 21.49 18.63 17.77 10.07 21.19 
#>   183   140    60   158    36   149   128   105  81.1   113   181   166 184.1 
#>  9.24 12.68 13.15 20.14 21.19  8.37 20.35 19.75 14.06 22.86 16.46 19.98 17.77 
#>   157    97  81.2 129.1  45.1 139.1   154   127 179.1  76.1   100   168 184.2 
#> 15.10 19.14 14.06 23.41 17.42 21.49 12.63  3.53 18.63 19.22 16.07 23.72 17.77 
#> 105.1  63.1    10   106   110  45.2 183.1 106.1    14    40 139.2 128.1     5 
#> 19.75 22.77 10.53 16.67 17.56 17.42  9.24 16.67 12.89 18.00 21.49 20.35 16.43 
#>  86.1 149.1  30.1   134  40.1 157.1    77    32    42 149.2    92   130  29.1 
#> 23.81  8.37 17.43 17.81 18.00 15.10  7.27 20.90 12.43  8.37 22.92 16.47 15.45 
#>   170  63.2 113.1  18.1    66 177.1 166.1    23    26  52.2   153    91   108 
#> 19.54 22.77 22.86 15.21 22.13 12.53 19.98 16.92 15.77 10.42 21.33  5.33 18.29 
#>    79   123 149.3  97.1  18.2   111   171 113.2   135   182    80   156   196 
#> 16.23 13.00  8.37 19.14 15.21 17.45 16.57 22.86 24.00 24.00 24.00 24.00 24.00 
#>    65   118   143 135.1    47    48    27    62     1  27.1  62.1     2   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   2.1    98    11   102    54 118.1 143.1  47.1    75   116   198   186   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200  47.2    20   152    33   193    67    83    12   147   142   141    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144     3   112  33.1 152.1    95 104.1   165    84    64    22   178 178.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 178.2    94   162  20.1 182.1   173 143.2    35 173.1 173.2   151 104.2  67.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  47.3 102.1 182.2   174    46  22.1 141.1 193.1 174.1    34    72   120  33.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   132 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[33]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.009071933               0.412462807               0.143630154 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.39071083              0.01266084             -0.54977507 
#>   grade_iii, Cure model 
#>              0.63116242 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 134   17.81      1  47        1         0
#> 128   20.35      1  35        0         1
#> 154   12.63      1  20        1         0
#> 56    12.21      1  60        0         0
#> 189   10.51      1  NA        1         0
#> 175   21.91      1  43        0         0
#> 26    15.77      1  49        0         1
#> 177   12.53      1  75        0         0
#> 134.1 17.81      1  47        1         0
#> 157   15.10      1  47        0         0
#> 93    10.33      1  52        0         1
#> 60    13.15      1  38        1         0
#> 77     7.27      1  67        0         1
#> 92    22.92      1  47        0         1
#> 136   21.83      1  43        0         1
#> 157.1 15.10      1  47        0         0
#> 89    11.44      1  NA        0         0
#> 77.1   7.27      1  67        0         1
#> 183    9.24      1  67        1         0
#> 105   19.75      1  60        0         0
#> 145   10.07      1  65        1         0
#> 85    16.44      1  36        0         0
#> 55    19.34      1  69        0         1
#> 153   21.33      1  55        1         0
#> 58    19.34      1  39        0         0
#> 61    10.12      1  36        0         1
#> 30    17.43      1  78        0         0
#> 69    23.23      1  25        0         1
#> 56.1  12.21      1  60        0         0
#> 139   21.49      1  63        1         0
#> 108   18.29      1  39        0         1
#> 30.1  17.43      1  78        0         0
#> 129   23.41      1  53        1         0
#> 59    10.16      1  NA        1         0
#> 40    18.00      1  28        1         0
#> 16     8.71      1  71        0         1
#> 188   16.16      1  46        0         1
#> 86    23.81      1  58        0         1
#> 180   14.82      1  37        0         0
#> 90    20.94      1  50        0         1
#> 169   22.41      1  46        0         0
#> 32    20.90      1  37        1         0
#> 113   22.86      1  34        0         0
#> 114   13.68      1  NA        0         0
#> 134.2 17.81      1  47        1         0
#> 107   11.18      1  54        1         0
#> 134.3 17.81      1  47        1         0
#> 117   17.46      1  26        0         1
#> 113.1 22.86      1  34        0         0
#> 194   22.40      1  38        0         1
#> 179   18.63      1  42        0         0
#> 41    18.02      1  40        1         0
#> 110   17.56      1  65        0         1
#> 68    20.62      1  44        0         0
#> 150   20.33      1  48        0         0
#> 159   10.55      1  50        0         1
#> 199   19.81      1  NA        0         1
#> 37    12.52      1  57        1         0
#> 175.1 21.91      1  43        0         0
#> 13    14.34      1  54        0         1
#> 4     17.64      1  NA        0         1
#> 23    16.92      1  61        0         0
#> 24    23.89      1  38        0         0
#> 154.1 12.63      1  20        1         0
#> 90.1  20.94      1  50        0         1
#> 10    10.53      1  34        0         0
#> 159.1 10.55      1  50        0         1
#> 127    3.53      1  62        0         1
#> 37.1  12.52      1  57        1         0
#> 88    18.37      1  47        0         0
#> 86.1  23.81      1  58        0         1
#> 37.2  12.52      1  57        1         0
#> 188.1 16.16      1  46        0         1
#> 187    9.92      1  39        1         0
#> 179.1 18.63      1  42        0         0
#> 16.1   8.71      1  71        0         1
#> 45    17.42      1  54        0         1
#> 175.2 21.91      1  43        0         0
#> 197   21.60      1  69        1         0
#> 26.1  15.77      1  49        0         1
#> 90.2  20.94      1  50        0         1
#> 181   16.46      1  45        0         1
#> 37.3  12.52      1  57        1         0
#> 15    22.68      1  48        0         0
#> 157.2 15.10      1  47        0         0
#> 58.1  19.34      1  39        0         0
#> 145.1 10.07      1  65        1         0
#> 158   20.14      1  74        1         0
#> 79    16.23      1  54        1         0
#> 195   11.76      1  NA        1         0
#> 58.2  19.34      1  39        0         0
#> 97    19.14      1  65        0         1
#> 127.1  3.53      1  62        0         1
#> 149    8.37      1  33        1         0
#> 30.2  17.43      1  78        0         0
#> 190   20.81      1  42        1         0
#> 60.1  13.15      1  38        1         0
#> 10.1  10.53      1  34        0         0
#> 60.2  13.15      1  38        1         0
#> 50    10.02      1  NA        1         0
#> 51    18.23      1  83        0         1
#> 51.1  18.23      1  83        0         1
#> 93.1  10.33      1  52        0         1
#> 153.1 21.33      1  55        1         0
#> 134.4 17.81      1  47        1         0
#> 124    9.73      1  NA        1         0
#> 101    9.97      1  10        0         1
#> 15.1  22.68      1  48        0         0
#> 194.1 22.40      1  38        0         1
#> 155   13.08      1  26        0         0
#> 99    21.19      1  38        0         1
#> 179.2 18.63      1  42        0         0
#> 87    24.00      0  27        0         0
#> 148   24.00      0  61        1         0
#> 173   24.00      0  19        0         1
#> 3     24.00      0  31        1         0
#> 132   24.00      0  55        0         0
#> 9     24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 162   24.00      0  51        0         0
#> 160   24.00      0  31        1         0
#> 147   24.00      0  76        1         0
#> 146   24.00      0  63        1         0
#> 75    24.00      0  21        1         0
#> 143   24.00      0  51        0         0
#> 185   24.00      0  44        1         0
#> 22    24.00      0  52        1         0
#> 22.1  24.00      0  52        1         0
#> 71    24.00      0  51        0         0
#> 83    24.00      0   6        0         0
#> 118   24.00      0  44        1         0
#> 185.1 24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 142   24.00      0  53        0         0
#> 22.2  24.00      0  52        1         0
#> 176   24.00      0  43        0         1
#> 48    24.00      0  31        1         0
#> 116   24.00      0  58        0         1
#> 146.1 24.00      0  63        1         0
#> 112   24.00      0  61        0         0
#> 67    24.00      0  25        0         0
#> 53    24.00      0  32        0         1
#> 147.1 24.00      0  76        1         0
#> 141   24.00      0  44        1         0
#> 121   24.00      0  57        1         0
#> 131   24.00      0  66        0         0
#> 102   24.00      0  49        0         0
#> 3.1   24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 196   24.00      0  19        0         0
#> 198   24.00      0  66        0         1
#> 48.1  24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 146.2 24.00      0  63        1         0
#> 19    24.00      0  57        0         1
#> 94    24.00      0  51        0         1
#> 162.1 24.00      0  51        0         0
#> 7     24.00      0  37        1         0
#> 132.1 24.00      0  55        0         0
#> 9.1   24.00      0  31        1         0
#> 65    24.00      0  57        1         0
#> 176.1 24.00      0  43        0         1
#> 156   24.00      0  50        1         0
#> 116.1 24.00      0  58        0         1
#> 19.1  24.00      0  57        0         1
#> 131.1 24.00      0  66        0         0
#> 103   24.00      0  56        1         0
#> 137   24.00      0  45        1         0
#> 65.1  24.00      0  57        1         0
#> 7.1   24.00      0  37        1         0
#> 44    24.00      0  56        0         0
#> 103.1 24.00      0  56        1         0
#> 148.1 24.00      0  61        1         0
#> 65.2  24.00      0  57        1         0
#> 82    24.00      0  34        0         0
#> 156.1 24.00      0  50        1         0
#> 144   24.00      0  28        0         1
#> 54    24.00      0  53        1         0
#> 115   24.00      0  NA        1         0
#> 75.1  24.00      0  21        1         0
#> 148.2 24.00      0  61        1         0
#> 104   24.00      0  50        1         0
#> 44.1  24.00      0  56        0         0
#> 182   24.00      0  35        0         0
#> 163   24.00      0  66        0         0
#> 162.2 24.00      0  51        0         0
#> 87.1  24.00      0  27        0         0
#> 198.1 24.00      0  66        0         1
#> 34    24.00      0  36        0         0
#> 3.2   24.00      0  31        1         0
#> 132.2 24.00      0  55        0         0
#> 119   24.00      0  17        0         0
#> 156.2 24.00      0  50        1         0
#> 94.1  24.00      0  51        0         1
#> 33    24.00      0  53        0         0
#> 17    24.00      0  38        0         1
#> 172   24.00      0  41        0         0
#> 27.1  24.00      0  63        1         0
#> 137.1 24.00      0  45        1         0
#> 160.1 24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.391         NA        NA      NA
#> 2 age, Cure model           0.0127        NA        NA      NA
#> 3 grade_ii, Cure model     -0.550         NA        NA      NA
#> 4 grade_iii, Cure model     0.631         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00907        NA        NA      NA
#> 2 grade_ii, Survival model   0.412          NA        NA      NA
#> 3 grade_iii, Survival model  0.144          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.39071           0.01266          -0.54978           0.63116  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 250.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.39071083       0.01266084      -0.54977507       0.63116242 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.009071933      0.412462807      0.143630154 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.65576271 0.50266351 0.84083655 0.88166005 0.33061500 0.77215498
#>   [7] 0.85287653 0.65576271 0.78496962 0.92089721 0.81648350 0.97966184
#>  [13] 0.19983155 0.37104834 0.78496962 0.97966184 0.95879269 0.53104639
#>  [19] 0.93736294 0.74586765 0.54014118 0.40964541 0.54014118 0.93187649
#>  [25] 0.70518058 0.17927240 0.88166005 0.39749308 0.61604887 0.70518058
#>  [31] 0.15760326 0.64800155 0.96407563 0.75916777 0.10821204 0.80386790
#>  [37] 0.44265475 0.28532293 0.47298754 0.21888733 0.65576271 0.89301953
#>  [43] 0.65576271 0.69810078 0.21888733 0.30133842 0.58283411 0.64015131
#>  [49] 0.69098769 0.49291811 0.51229946 0.89866466 0.85887649 0.33061500
#>  [55] 0.81019741 0.73238961 0.05328653 0.84083655 0.44265475 0.90980547
#>  [61] 0.89866466 0.98988451 0.85887649 0.60770440 0.10821204 0.85887649
#>  [67] 0.75916777 0.95345760 0.58283411 0.96407563 0.72558151 0.33061500
#>  [73] 0.38468490 0.77215498 0.44265475 0.73915125 0.85887649 0.25328732
#>  [79] 0.78496962 0.54014118 0.93736294 0.52183752 0.75256076 0.54014118
#>  [85] 0.57425094 0.98988451 0.97447633 0.70518058 0.48307728 0.81648350
#>  [91] 0.90980547 0.81648350 0.62432112 0.62432112 0.92089721 0.40964541
#>  [97] 0.65576271 0.94808791 0.25328732 0.30133842 0.83472361 0.43167461
#> [103] 0.58283411 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   134   128   154    56   175    26   177 134.1   157    93    60    77    92 
#> 17.81 20.35 12.63 12.21 21.91 15.77 12.53 17.81 15.10 10.33 13.15  7.27 22.92 
#>   136 157.1  77.1   183   105   145    85    55   153    58    61    30    69 
#> 21.83 15.10  7.27  9.24 19.75 10.07 16.44 19.34 21.33 19.34 10.12 17.43 23.23 
#>  56.1   139   108  30.1   129    40    16   188    86   180    90   169    32 
#> 12.21 21.49 18.29 17.43 23.41 18.00  8.71 16.16 23.81 14.82 20.94 22.41 20.90 
#>   113 134.2   107 134.3   117 113.1   194   179    41   110    68   150   159 
#> 22.86 17.81 11.18 17.81 17.46 22.86 22.40 18.63 18.02 17.56 20.62 20.33 10.55 
#>    37 175.1    13    23    24 154.1  90.1    10 159.1   127  37.1    88  86.1 
#> 12.52 21.91 14.34 16.92 23.89 12.63 20.94 10.53 10.55  3.53 12.52 18.37 23.81 
#>  37.2 188.1   187 179.1  16.1    45 175.2   197  26.1  90.2   181  37.3    15 
#> 12.52 16.16  9.92 18.63  8.71 17.42 21.91 21.60 15.77 20.94 16.46 12.52 22.68 
#> 157.2  58.1 145.1   158    79  58.2    97 127.1   149  30.2   190  60.1  10.1 
#> 15.10 19.34 10.07 20.14 16.23 19.34 19.14  3.53  8.37 17.43 20.81 13.15 10.53 
#>  60.2    51  51.1  93.1 153.1 134.4   101  15.1 194.1   155    99 179.2    87 
#> 13.15 18.23 18.23 10.33 21.33 17.81  9.97 22.68 22.40 13.08 21.19 18.63 24.00 
#>   148   173     3   132     9    47   162   160   147   146    75   143   185 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22  22.1    71    83   118 185.1    27   142  22.2   176    48   116 146.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112    67    53 147.1   141   121   131   102   3.1   151   196   198  48.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31 146.2    19    94 162.1     7 132.1   9.1    65 176.1   156 116.1  19.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.1   103   137  65.1   7.1    44 103.1 148.1  65.2    82 156.1   144    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  75.1 148.2   104  44.1   182   163 162.2  87.1 198.1    34   3.2 132.2   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 156.2  94.1    33    17   172  27.1 137.1 160.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[34]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.02035701                0.54281160                0.31950918 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>           -0.5820936321            0.0098211072            0.0006808059 
#>   grade_iii, Cure model 
#>            0.7836287588 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 42    12.43      1  49        0         1
#> 164   23.60      1  76        0         1
#> 127    3.53      1  62        0         1
#> 149    8.37      1  33        1         0
#> 55    19.34      1  69        0         1
#> 6     15.64      1  39        0         0
#> 168   23.72      1  70        0         0
#> 25     6.32      1  34        1         0
#> 51    18.23      1  83        0         1
#> 150   20.33      1  48        0         0
#> 179   18.63      1  42        0         0
#> 56    12.21      1  60        0         0
#> 181   16.46      1  45        0         1
#> 81    14.06      1  34        0         0
#> 52    10.42      1  52        0         1
#> 124    9.73      1  NA        1         0
#> 101    9.97      1  10        0         1
#> 91     5.33      1  61        0         1
#> 105   19.75      1  60        0         0
#> 133   14.65      1  57        0         0
#> 13    14.34      1  54        0         1
#> 127.1  3.53      1  62        0         1
#> 89    11.44      1  NA        0         0
#> 76    19.22      1  54        0         1
#> 39    15.59      1  37        0         1
#> 149.1  8.37      1  33        1         0
#> 130   16.47      1  53        0         1
#> 52.1  10.42      1  52        0         1
#> 58    19.34      1  39        0         0
#> 189   10.51      1  NA        1         0
#> 154   12.63      1  20        1         0
#> 167   15.55      1  56        1         0
#> 57    14.46      1  45        0         1
#> 16     8.71      1  71        0         1
#> 192   16.44      1  31        1         0
#> 32    20.90      1  37        1         0
#> 90    20.94      1  50        0         1
#> 177   12.53      1  75        0         0
#> 57.1  14.46      1  45        0         1
#> 110   17.56      1  65        0         1
#> 159   10.55      1  50        0         1
#> 150.1 20.33      1  48        0         0
#> 90.1  20.94      1  50        0         1
#> 60    13.15      1  38        1         0
#> 97    19.14      1  65        0         1
#> 192.1 16.44      1  31        1         0
#> 10    10.53      1  34        0         0
#> 68    20.62      1  44        0         0
#> 90.2  20.94      1  50        0         1
#> 5     16.43      1  51        0         1
#> 134   17.81      1  47        1         0
#> 136   21.83      1  43        0         1
#> 99    21.19      1  38        0         1
#> 127.2  3.53      1  62        0         1
#> 25.1   6.32      1  34        1         0
#> 68.1  20.62      1  44        0         0
#> 111   17.45      1  47        0         1
#> 76.1  19.22      1  54        0         1
#> 192.2 16.44      1  31        1         0
#> 157   15.10      1  47        0         0
#> 50    10.02      1  NA        1         0
#> 79    16.23      1  54        1         0
#> 113   22.86      1  34        0         0
#> 127.3  3.53      1  62        0         1
#> 167.1 15.55      1  56        1         0
#> 130.1 16.47      1  53        0         1
#> 183    9.24      1  67        1         0
#> 30    17.43      1  78        0         0
#> 129   23.41      1  53        1         0
#> 61    10.12      1  36        0         1
#> 197   21.60      1  69        1         0
#> 10.1  10.53      1  34        0         0
#> 164.1 23.60      1  76        0         1
#> 13.1  14.34      1  54        0         1
#> 111.1 17.45      1  47        0         1
#> 117   17.46      1  26        0         1
#> 26    15.77      1  49        0         1
#> 6.1   15.64      1  39        0         0
#> 39.1  15.59      1  37        0         1
#> 125   15.65      1  67        1         0
#> 50.1  10.02      1  NA        1         0
#> 170   19.54      1  43        0         1
#> 181.1 16.46      1  45        0         1
#> 140   12.68      1  59        1         0
#> 14    12.89      1  21        0         0
#> 55.1  19.34      1  69        0         1
#> 195   11.76      1  NA        1         0
#> 164.2 23.60      1  76        0         1
#> 58.1  19.34      1  39        0         0
#> 108   18.29      1  39        0         1
#> 10.2  10.53      1  34        0         0
#> 100   16.07      1  60        0         0
#> 181.2 16.46      1  45        0         1
#> 192.3 16.44      1  31        1         0
#> 39.2  15.59      1  37        0         1
#> 85    16.44      1  36        0         0
#> 123   13.00      1  44        1         0
#> 68.2  20.62      1  44        0         0
#> 30.1  17.43      1  78        0         0
#> 114   13.68      1  NA        0         0
#> 14.1  12.89      1  21        0         0
#> 42.1  12.43      1  49        0         1
#> 78    23.88      1  43        0         0
#> 76.2  19.22      1  54        0         1
#> 58.2  19.34      1  39        0         0
#> 164.3 23.60      1  76        0         1
#> 56.1  12.21      1  60        0         0
#> 18    15.21      1  49        1         0
#> 159.1 10.55      1  50        0         1
#> 85.1  16.44      1  36        0         0
#> 117.1 17.46      1  26        0         1
#> 61.1  10.12      1  36        0         1
#> 146   24.00      0  63        1         0
#> 162   24.00      0  51        0         0
#> 48    24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 116   24.00      0  58        0         1
#> 191   24.00      0  60        0         1
#> 73    24.00      0  NA        0         1
#> 173   24.00      0  19        0         1
#> 191.1 24.00      0  60        0         1
#> 103   24.00      0  56        1         0
#> 94    24.00      0  51        0         1
#> 35    24.00      0  51        0         0
#> 119   24.00      0  17        0         0
#> 172   24.00      0  41        0         0
#> 83    24.00      0   6        0         0
#> 65    24.00      0  57        1         0
#> 135   24.00      0  58        1         0
#> 132   24.00      0  55        0         0
#> 3     24.00      0  31        1         0
#> 35.1  24.00      0  51        0         0
#> 82    24.00      0  34        0         0
#> 119.1 24.00      0  17        0         0
#> 200   24.00      0  64        0         0
#> 67    24.00      0  25        0         0
#> 62    24.00      0  71        0         0
#> 95    24.00      0  68        0         1
#> 148   24.00      0  61        1         0
#> 44    24.00      0  56        0         0
#> 47    24.00      0  38        0         1
#> 120   24.00      0  68        0         1
#> 53    24.00      0  32        0         1
#> 82.1  24.00      0  34        0         0
#> 151.1 24.00      0  42        0         0
#> 161   24.00      0  45        0         0
#> 33    24.00      0  53        0         0
#> 83.1  24.00      0   6        0         0
#> 84    24.00      0  39        0         1
#> 65.1  24.00      0  57        1         0
#> 131   24.00      0  66        0         0
#> 173.1 24.00      0  19        0         1
#> 116.1 24.00      0  58        0         1
#> 12    24.00      0  63        0         0
#> 7     24.00      0  37        1         0
#> 67.1  24.00      0  25        0         0
#> 141   24.00      0  44        1         0
#> 131.1 24.00      0  66        0         0
#> 74    24.00      0  43        0         1
#> 27    24.00      0  63        1         0
#> 104   24.00      0  50        1         0
#> 182   24.00      0  35        0         0
#> 53.1  24.00      0  32        0         1
#> 147   24.00      0  76        1         0
#> 12.1  24.00      0  63        0         0
#> 161.1 24.00      0  45        0         0
#> 173.2 24.00      0  19        0         1
#> 142   24.00      0  53        0         0
#> 22    24.00      0  52        1         0
#> 17    24.00      0  38        0         1
#> 144   24.00      0  28        0         1
#> 137   24.00      0  45        1         0
#> 109   24.00      0  48        0         0
#> 95.1  24.00      0  68        0         1
#> 191.2 24.00      0  60        0         1
#> 137.1 24.00      0  45        1         0
#> 165   24.00      0  47        0         0
#> 75    24.00      0  21        1         0
#> 119.2 24.00      0  17        0         0
#> 191.3 24.00      0  60        0         1
#> 185   24.00      0  44        1         0
#> 102   24.00      0  49        0         0
#> 198   24.00      0  66        0         1
#> 2     24.00      0   9        0         0
#> 87    24.00      0  27        0         0
#> 141.1 24.00      0  44        1         0
#> 48.1  24.00      0  31        1         0
#> 126   24.00      0  48        0         0
#> 193   24.00      0  45        0         1
#> 151.2 24.00      0  42        0         0
#> 74.1  24.00      0  43        0         1
#> 137.2 24.00      0  45        1         0
#> 191.4 24.00      0  60        0         1
#> 3.1   24.00      0  31        1         0
#> 95.2  24.00      0  68        0         1
#> 27.1  24.00      0  63        1         0
#> 64    24.00      0  43        0         0
#> 135.1 24.00      0  58        1         0
#> 3.2   24.00      0  31        1         0
#> 11    24.00      0  42        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.582           NA        NA      NA
#> 2 age, Cure model          0.00982         NA        NA      NA
#> 3 grade_ii, Cure model     0.000681        NA        NA      NA
#> 4 grade_iii, Cure model    0.784           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0204        NA        NA      NA
#> 2 grade_ii, Survival model    0.543         NA        NA      NA
#> 3 grade_iii, Survival model   0.320         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>       -0.5820936         0.0098211         0.0006808         0.7836288  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.5 
#> Residual Deviance: 255.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>    -0.5820936321     0.0098211072     0.0006808059     0.7836287588 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.02035701       0.54281160       0.31950918 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 5.919763e-01 2.320266e-04 9.293391e-01 8.441444e-01 4.042398e-02
#>   [6] 3.132671e-01 5.066859e-05 8.779697e-01 9.653502e-02 2.605021e-02
#>  [11] 8.385090e-02 6.209210e-01 1.804737e-01 4.813734e-01 7.284866e-01
#>  [16] 7.937956e-01 9.119770e-01 3.267565e-02 4.171426e-01 4.551466e-01
#>  [21] 9.293391e-01 6.191831e-02 3.353944e-01 8.441444e-01 1.631520e-01
#>  [26] 7.284866e-01 4.042398e-02 5.636386e-01 3.691909e-01 4.297135e-01
#>  [31] 8.271421e-01 2.075338e-01 1.552422e-02 9.445560e-03 5.776715e-01
#>  [36] 4.297135e-01 1.102131e-01 6.508495e-01 2.605021e-02 9.445560e-03
#>  [41] 4.948565e-01 7.785063e-02 2.075338e-01 6.814862e-01 1.796499e-02
#>  [46] 9.445560e-03 2.611803e-01 1.032973e-01 4.406916e-03 7.580341e-03
#>  [51] 9.293391e-01 8.779697e-01 1.796499e-02 1.317010e-01 6.191831e-02
#>  [56] 2.075338e-01 4.048266e-01 2.711922e-01 3.127040e-03 9.293391e-01
#>  [61] 3.691909e-01 1.631520e-01 8.103728e-01 1.467572e-01 2.066530e-03
#>  [66] 7.609038e-01 5.869963e-03 6.814862e-01 2.320266e-04 4.551466e-01
#>  [71] 1.317010e-01 1.174153e-01 2.918027e-01 3.132671e-01 3.353944e-01
#>  [76] 3.024283e-01 3.646198e-02 1.804737e-01 5.495548e-01 5.220833e-01
#>  [81] 4.042398e-02 2.320266e-04 4.042398e-02 9.010861e-02 6.814862e-01
#>  [86] 2.813644e-01 1.804737e-01 2.075338e-01 3.353944e-01 2.075338e-01
#>  [91] 5.084157e-01 1.796499e-02 1.467572e-01 5.220833e-01 5.919763e-01
#>  [96] 4.597846e-06 6.191831e-02 4.042398e-02 2.320266e-04 6.209210e-01
#> [101] 3.927371e-01 6.508495e-01 2.075338e-01 1.174153e-01 7.609038e-01
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [191] 0.000000e+00 0.000000e+00
#> 
#> $Time
#>    42   164   127   149    55     6   168    25    51   150   179    56   181 
#> 12.43 23.60  3.53  8.37 19.34 15.64 23.72  6.32 18.23 20.33 18.63 12.21 16.46 
#>    81    52   101    91   105   133    13 127.1    76    39 149.1   130  52.1 
#> 14.06 10.42  9.97  5.33 19.75 14.65 14.34  3.53 19.22 15.59  8.37 16.47 10.42 
#>    58   154   167    57    16   192    32    90   177  57.1   110   159 150.1 
#> 19.34 12.63 15.55 14.46  8.71 16.44 20.90 20.94 12.53 14.46 17.56 10.55 20.33 
#>  90.1    60    97 192.1    10    68  90.2     5   134   136    99 127.2  25.1 
#> 20.94 13.15 19.14 16.44 10.53 20.62 20.94 16.43 17.81 21.83 21.19  3.53  6.32 
#>  68.1   111  76.1 192.2   157    79   113 127.3 167.1 130.1   183    30   129 
#> 20.62 17.45 19.22 16.44 15.10 16.23 22.86  3.53 15.55 16.47  9.24 17.43 23.41 
#>    61   197  10.1 164.1  13.1 111.1   117    26   6.1  39.1   125   170 181.1 
#> 10.12 21.60 10.53 23.60 14.34 17.45 17.46 15.77 15.64 15.59 15.65 19.54 16.46 
#>   140    14  55.1 164.2  58.1   108  10.2   100 181.2 192.3  39.2    85   123 
#> 12.68 12.89 19.34 23.60 19.34 18.29 10.53 16.07 16.46 16.44 15.59 16.44 13.00 
#>  68.2  30.1  14.1  42.1    78  76.2  58.2 164.3  56.1    18 159.1  85.1 117.1 
#> 20.62 17.43 12.89 12.43 23.88 19.22 19.34 23.60 12.21 15.21 10.55 16.44 17.46 
#>  61.1   146   162    48   151   116   191   173 191.1   103    94    35   119 
#> 10.12 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   172    83    65   135   132     3  35.1    82 119.1   200    67    62    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148    44    47   120    53  82.1 151.1   161    33  83.1    84  65.1   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 173.1 116.1    12     7  67.1   141 131.1    74    27   104   182  53.1   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  12.1 161.1 173.2   142    22    17   144   137   109  95.1 191.2 137.1   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75 119.2 191.3   185   102   198     2    87 141.1  48.1   126   193 151.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  74.1 137.2 191.4   3.1  95.2  27.1    64 135.1   3.2    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[35]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.004122667               0.451026039               0.620324374 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.535023841             0.004960698             0.541280557 
#>   grade_iii, Cure model 
#>             1.145136537 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 123   13.00      1  44        1         0
#> 96    14.54      1  33        0         1
#> 140   12.68      1  59        1         0
#> 52    10.42      1  52        0         1
#> 5     16.43      1  51        0         1
#> 168   23.72      1  70        0         0
#> 166   19.98      1  48        0         0
#> 197   21.60      1  69        1         0
#> 158   20.14      1  74        1         0
#> 69    23.23      1  25        0         1
#> 41    18.02      1  40        1         0
#> 114   13.68      1  NA        0         0
#> 129   23.41      1  53        1         0
#> 113   22.86      1  34        0         0
#> 188   16.16      1  46        0         1
#> 100   16.07      1  60        0         0
#> 85    16.44      1  36        0         0
#> 145   10.07      1  65        1         0
#> 55    19.34      1  69        0         1
#> 139   21.49      1  63        1         0
#> 106   16.67      1  49        1         0
#> 128   20.35      1  35        0         1
#> 110   17.56      1  65        0         1
#> 139.1 21.49      1  63        1         0
#> 41.1  18.02      1  40        1         0
#> 61    10.12      1  36        0         1
#> 37    12.52      1  57        1         0
#> 169   22.41      1  46        0         0
#> 39    15.59      1  37        0         1
#> 8     18.43      1  32        0         0
#> 42    12.43      1  49        0         1
#> 91     5.33      1  61        0         1
#> 18    15.21      1  49        1         0
#> 57    14.46      1  45        0         1
#> 92    22.92      1  47        0         1
#> 169.1 22.41      1  46        0         0
#> 125   15.65      1  67        1         0
#> 13    14.34      1  54        0         1
#> 8.1   18.43      1  32        0         0
#> 32    20.90      1  37        1         0
#> 199   19.81      1  NA        0         1
#> 139.2 21.49      1  63        1         0
#> 63    22.77      1  31        1         0
#> 57.1  14.46      1  45        0         1
#> 52.1  10.42      1  52        0         1
#> 61.1  10.12      1  36        0         1
#> 111   17.45      1  47        0         1
#> 190   20.81      1  42        1         0
#> 139.3 21.49      1  63        1         0
#> 113.1 22.86      1  34        0         0
#> 91.1   5.33      1  61        0         1
#> 114.1 13.68      1  NA        0         0
#> 16     8.71      1  71        0         1
#> 70     7.38      1  30        1         0
#> 78    23.88      1  43        0         0
#> 101    9.97      1  10        0         1
#> 125.1 15.65      1  67        1         0
#> 150   20.33      1  48        0         0
#> 199.1 19.81      1  NA        0         1
#> 10    10.53      1  34        0         0
#> 159   10.55      1  50        0         1
#> 79    16.23      1  54        1         0
#> 16.1   8.71      1  71        0         1
#> 136   21.83      1  43        0         1
#> 89    11.44      1  NA        0         0
#> 192   16.44      1  31        1         0
#> 184   17.77      1  38        0         0
#> 88    18.37      1  47        0         0
#> 18.1  15.21      1  49        1         0
#> 92.1  22.92      1  47        0         1
#> 133   14.65      1  57        0         0
#> 60    13.15      1  38        1         0
#> 51    18.23      1  83        0         1
#> 155   13.08      1  26        0         0
#> 61.2  10.12      1  36        0         1
#> 69.1  23.23      1  25        0         1
#> 25     6.32      1  34        1         0
#> 177   12.53      1  75        0         0
#> 68    20.62      1  44        0         0
#> 60.1  13.15      1  38        1         0
#> 107   11.18      1  54        1         0
#> 110.1 17.56      1  65        0         1
#> 139.4 21.49      1  63        1         0
#> 49    12.19      1  48        1         0
#> 139.5 21.49      1  63        1         0
#> 68.1  20.62      1  44        0         0
#> 181   16.46      1  45        0         1
#> 29    15.45      1  68        1         0
#> 123.1 13.00      1  44        1         0
#> 43    12.10      1  61        0         1
#> 29.1  15.45      1  68        1         0
#> 18.2  15.21      1  49        1         0
#> 190.1 20.81      1  42        1         0
#> 145.1 10.07      1  65        1         0
#> 10.1  10.53      1  34        0         0
#> 24    23.89      1  38        0         0
#> 181.1 16.46      1  45        0         1
#> 14    12.89      1  21        0         0
#> 190.2 20.81      1  42        1         0
#> 90    20.94      1  50        0         1
#> 85.1  16.44      1  36        0         0
#> 91.2   5.33      1  61        0         1
#> 45    17.42      1  54        0         1
#> 108   18.29      1  39        0         1
#> 23    16.92      1  61        0         0
#> 56    12.21      1  60        0         0
#> 188.1 16.16      1  46        0         1
#> 45.1  17.42      1  54        0         1
#> 51.1  18.23      1  83        0         1
#> 18.3  15.21      1  49        1         0
#> 15    22.68      1  48        0         0
#> 192.1 16.44      1  31        1         0
#> 109   24.00      0  48        0         0
#> 120   24.00      0  68        0         1
#> 104   24.00      0  50        1         0
#> 165   24.00      0  47        0         0
#> 200   24.00      0  64        0         0
#> 174   24.00      0  49        1         0
#> 144   24.00      0  28        0         1
#> 46    24.00      0  71        0         0
#> 82    24.00      0  34        0         0
#> 162   24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 156   24.00      0  50        1         0
#> 122   24.00      0  66        0         0
#> 174.1 24.00      0  49        1         0
#> 20    24.00      0  46        1         0
#> 148   24.00      0  61        1         0
#> 104.1 24.00      0  50        1         0
#> 137   24.00      0  45        1         0
#> 112   24.00      0  61        0         0
#> 84    24.00      0  39        0         1
#> 34    24.00      0  36        0         0
#> 143   24.00      0  51        0         0
#> 115   24.00      0  NA        1         0
#> 75    24.00      0  21        1         0
#> 44    24.00      0  56        0         0
#> 33    24.00      0  53        0         0
#> 103   24.00      0  56        1         0
#> 34.1  24.00      0  36        0         0
#> 182   24.00      0  35        0         0
#> 178   24.00      0  52        1         0
#> 2     24.00      0   9        0         0
#> 186   24.00      0  45        1         0
#> 160   24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 196   24.00      0  19        0         0
#> 71    24.00      0  51        0         0
#> 152   24.00      0  36        0         1
#> 2.1   24.00      0   9        0         0
#> 104.2 24.00      0  50        1         0
#> 112.1 24.00      0  61        0         0
#> 176   24.00      0  43        0         1
#> 119   24.00      0  17        0         0
#> 3     24.00      0  31        1         0
#> 34.2  24.00      0  36        0         0
#> 82.1  24.00      0  34        0         0
#> 87    24.00      0  27        0         0
#> 22.1  24.00      0  52        1         0
#> 116   24.00      0  58        0         1
#> 33.1  24.00      0  53        0         0
#> 62    24.00      0  71        0         0
#> 71.1  24.00      0  51        0         0
#> 120.1 24.00      0  68        0         1
#> 73    24.00      0  NA        0         1
#> 198   24.00      0  66        0         1
#> 28    24.00      0  67        1         0
#> 121   24.00      0  57        1         0
#> 193   24.00      0  45        0         1
#> 109.1 24.00      0  48        0         0
#> 7     24.00      0  37        1         0
#> 174.2 24.00      0  49        1         0
#> 48    24.00      0  31        1         0
#> 94    24.00      0  51        0         1
#> 73.1  24.00      0  NA        0         1
#> 19    24.00      0  57        0         1
#> 11    24.00      0  42        0         1
#> 20.1  24.00      0  46        1         0
#> 62.1  24.00      0  71        0         0
#> 54    24.00      0  53        1         0
#> 143.1 24.00      0  51        0         0
#> 172   24.00      0  41        0         0
#> 126   24.00      0  48        0         0
#> 147   24.00      0  76        1         0
#> 121.1 24.00      0  57        1         0
#> 34.3  24.00      0  36        0         0
#> 35    24.00      0  51        0         0
#> 119.1 24.00      0  17        0         0
#> 28.1  24.00      0  67        1         0
#> 191   24.00      0  60        0         1
#> 161   24.00      0  45        0         0
#> 193.1 24.00      0  45        0         1
#> 27    24.00      0  63        1         0
#> 20.2  24.00      0  46        1         0
#> 144.1 24.00      0  28        0         1
#> 82.2  24.00      0  34        0         0
#> 71.2  24.00      0  51        0         0
#> 19.1  24.00      0  57        0         1
#> 7.1   24.00      0  37        1         0
#> 19.2  24.00      0  57        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.535          NA        NA      NA
#> 2 age, Cure model          0.00496        NA        NA      NA
#> 3 grade_ii, Cure model     0.541          NA        NA      NA
#> 4 grade_iii, Cure model    1.15           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00412        NA        NA      NA
#> 2 grade_ii, Survival model   0.451          NA        NA      NA
#> 3 grade_iii, Survival model  0.620          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.535024          0.004961          0.541281          1.145137  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    263.6 
#> Residual Deviance: 253.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.535023841      0.004960698      0.541280557      1.145136537 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.004122667      0.451026039      0.620324374 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.84435738 0.80298049 0.86161901 0.92295443 0.70690027 0.11034192
#>   [7] 0.51921704 0.34852095 0.51005005 0.17259366 0.58874848 0.14460316
#>  [13] 0.24360123 0.72059665 0.73385389 0.67943939 0.94937375 0.52834875
#>  [19] 0.36201920 0.65799119 0.49129763 0.61283030 0.36201920 0.58874848
#>  [25] 0.93366536 0.87305753 0.30538056 0.75347228 0.53725400 0.87873336
#>  [31] 0.98522855 0.77254163 0.80906231 0.21178246 0.30538056 0.74049582
#>  [37] 0.82095954 0.53725400 0.43351318 0.36201920 0.27481314 0.80906231
#>  [43] 0.92295443 0.93366536 0.62825065 0.44379929 0.36201920 0.24360123
#>  [49] 0.98522855 0.96493230 0.97509826 0.07227607 0.95975426 0.74049582
#>  [55] 0.50069305 0.91207890 0.90661500 0.71378004 0.96493230 0.33442988
#>  [61] 0.67943939 0.60477928 0.55483544 0.77254163 0.21178246 0.79684613
#>  [67] 0.82687297 0.57233727 0.83851874 0.93366536 0.17259366 0.98017395
#>  [73] 0.86734510 0.47227279 0.82687297 0.90110845 0.61283030 0.36201920
#>  [79] 0.88998218 0.36201920 0.47227279 0.66529482 0.75992363 0.84435738
#>  [85] 0.89556935 0.75992363 0.77254163 0.44379929 0.94937375 0.91207890
#>  [91] 0.03073799 0.66529482 0.85585452 0.44379929 0.42302080 0.67943939
#>  [97] 0.98522855 0.63589013 0.56366677 0.65061209 0.88436279 0.72059665
#> [103] 0.63589013 0.57233727 0.77254163 0.29018481 0.67943939 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   123    96   140    52     5   168   166   197   158    69    41   129   113 
#> 13.00 14.54 12.68 10.42 16.43 23.72 19.98 21.60 20.14 23.23 18.02 23.41 22.86 
#>   188   100    85   145    55   139   106   128   110 139.1  41.1    61    37 
#> 16.16 16.07 16.44 10.07 19.34 21.49 16.67 20.35 17.56 21.49 18.02 10.12 12.52 
#>   169    39     8    42    91    18    57    92 169.1   125    13   8.1    32 
#> 22.41 15.59 18.43 12.43  5.33 15.21 14.46 22.92 22.41 15.65 14.34 18.43 20.90 
#> 139.2    63  57.1  52.1  61.1   111   190 139.3 113.1  91.1    16    70    78 
#> 21.49 22.77 14.46 10.42 10.12 17.45 20.81 21.49 22.86  5.33  8.71  7.38 23.88 
#>   101 125.1   150    10   159    79  16.1   136   192   184    88  18.1  92.1 
#>  9.97 15.65 20.33 10.53 10.55 16.23  8.71 21.83 16.44 17.77 18.37 15.21 22.92 
#>   133    60    51   155  61.2  69.1    25   177    68  60.1   107 110.1 139.4 
#> 14.65 13.15 18.23 13.08 10.12 23.23  6.32 12.53 20.62 13.15 11.18 17.56 21.49 
#>    49 139.5  68.1   181    29 123.1    43  29.1  18.2 190.1 145.1  10.1    24 
#> 12.19 21.49 20.62 16.46 15.45 13.00 12.10 15.45 15.21 20.81 10.07 10.53 23.89 
#> 181.1    14 190.2    90  85.1  91.2    45   108    23    56 188.1  45.1  51.1 
#> 16.46 12.89 20.81 20.94 16.44  5.33 17.42 18.29 16.92 12.21 16.16 17.42 18.23 
#>  18.3    15 192.1   109   120   104   165   200   174   144    46    82   162 
#> 15.21 22.68 16.44 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22   156   122 174.1    20   148 104.1   137   112    84    34   143    75 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44    33   103  34.1   182   178     2   186   160     9   196    71   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   2.1 104.2 112.1   176   119     3  34.2  82.1    87  22.1   116  33.1    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  71.1 120.1   198    28   121   193 109.1     7 174.2    48    94    19    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  20.1  62.1    54 143.1   172   126   147 121.1  34.3    35 119.1  28.1   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161 193.1    27  20.2 144.1  82.2  71.2  19.1   7.1  19.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[36]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.006652258               0.706496322               0.837317092 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.86057278              0.02524298             -0.51145992 
#>   grade_iii, Cure model 
#>              0.22738415 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 145   10.07      1  65        1         0
#> 79    16.23      1  54        1         0
#> 179   18.63      1  42        0         0
#> 56    12.21      1  60        0         0
#> 42    12.43      1  49        0         1
#> 93    10.33      1  52        0         1
#> 184   17.77      1  38        0         0
#> 153   21.33      1  55        1         0
#> 197   21.60      1  69        1         0
#> 129   23.41      1  53        1         0
#> 52    10.42      1  52        0         1
#> 153.1 21.33      1  55        1         0
#> 24    23.89      1  38        0         0
#> 51    18.23      1  83        0         1
#> 85    16.44      1  36        0         0
#> 56.1  12.21      1  60        0         0
#> 169   22.41      1  46        0         0
#> 158   20.14      1  74        1         0
#> 90    20.94      1  50        0         1
#> 55    19.34      1  69        0         1
#> 36    21.19      1  48        0         1
#> 101    9.97      1  10        0         1
#> 125   15.65      1  67        1         0
#> 199   19.81      1  NA        0         1
#> 4     17.64      1  NA        0         1
#> 89    11.44      1  NA        0         0
#> 18    15.21      1  49        1         0
#> 133   14.65      1  57        0         0
#> 24.1  23.89      1  38        0         0
#> 113   22.86      1  34        0         0
#> 134   17.81      1  47        1         0
#> 32    20.90      1  37        1         0
#> 61    10.12      1  36        0         1
#> 24.2  23.89      1  38        0         0
#> 183    9.24      1  67        1         0
#> 117   17.46      1  26        0         1
#> 157   15.10      1  47        0         0
#> 16     8.71      1  71        0         1
#> 107   11.18      1  54        1         0
#> 187    9.92      1  39        1         0
#> 139   21.49      1  63        1         0
#> 177   12.53      1  75        0         0
#> 194   22.40      1  38        0         1
#> 49    12.19      1  48        1         0
#> 70     7.38      1  30        1         0
#> 88    18.37      1  47        0         0
#> 78    23.88      1  43        0         0
#> 149    8.37      1  33        1         0
#> 45    17.42      1  54        0         1
#> 79.1  16.23      1  54        1         0
#> 68    20.62      1  44        0         0
#> 13    14.34      1  54        0         1
#> 8     18.43      1  32        0         0
#> 168   23.72      1  70        0         0
#> 125.1 15.65      1  67        1         0
#> 52.1  10.42      1  52        0         1
#> 24.3  23.89      1  38        0         0
#> 90.1  20.94      1  50        0         1
#> 166   19.98      1  48        0         0
#> 175   21.91      1  43        0         0
#> 23    16.92      1  61        0         0
#> 166.1 19.98      1  48        0         0
#> 43    12.10      1  61        0         1
#> 52.2  10.42      1  52        0         1
#> 93.1  10.33      1  52        0         1
#> 124    9.73      1  NA        1         0
#> 70.1   7.38      1  30        1         0
#> 26    15.77      1  49        0         1
#> 124.1  9.73      1  NA        1         0
#> 77     7.27      1  67        0         1
#> 51.1  18.23      1  83        0         1
#> 63    22.77      1  31        1         0
#> 10    10.53      1  34        0         0
#> 15    22.68      1  48        0         0
#> 167   15.55      1  56        1         0
#> 24.4  23.89      1  38        0         0
#> 88.1  18.37      1  47        0         0
#> 78.1  23.88      1  43        0         0
#> 76    19.22      1  54        0         1
#> 10.1  10.53      1  34        0         0
#> 190   20.81      1  42        1         0
#> 36.1  21.19      1  48        0         1
#> 108   18.29      1  39        0         1
#> 55.1  19.34      1  69        0         1
#> 15.1  22.68      1  48        0         0
#> 66    22.13      1  53        0         0
#> 39    15.59      1  37        0         1
#> 88.2  18.37      1  47        0         0
#> 43.1  12.10      1  61        0         1
#> 184.1 17.77      1  38        0         0
#> 171   16.57      1  41        0         1
#> 36.2  21.19      1  48        0         1
#> 51.2  18.23      1  83        0         1
#> 123   13.00      1  44        1         0
#> 153.2 21.33      1  55        1         0
#> 155   13.08      1  26        0         0
#> 157.1 15.10      1  47        0         0
#> 58    19.34      1  39        0         0
#> 136   21.83      1  43        0         1
#> 13.1  14.34      1  54        0         1
#> 6     15.64      1  39        0         0
#> 100   16.07      1  60        0         0
#> 26.1  15.77      1  49        0         1
#> 113.1 22.86      1  34        0         0
#> 10.2  10.53      1  34        0         0
#> 56.2  12.21      1  60        0         0
#> 100.1 16.07      1  60        0         0
#> 123.1 13.00      1  44        1         0
#> 194.1 22.40      1  38        0         1
#> 190.1 20.81      1  42        1         0
#> 168.1 23.72      1  70        0         0
#> 183.1  9.24      1  67        1         0
#> 148   24.00      0  61        1         0
#> 102   24.00      0  49        0         0
#> 17    24.00      0  38        0         1
#> 186   24.00      0  45        1         0
#> 74    24.00      0  43        0         1
#> 9     24.00      0  31        1         0
#> 22    24.00      0  52        1         0
#> 11    24.00      0  42        0         1
#> 132   24.00      0  55        0         0
#> 176   24.00      0  43        0         1
#> 2     24.00      0   9        0         0
#> 82    24.00      0  34        0         0
#> 172   24.00      0  41        0         0
#> 162   24.00      0  51        0         0
#> 151   24.00      0  42        0         0
#> 54    24.00      0  53        1         0
#> 176.1 24.00      0  43        0         1
#> 7     24.00      0  37        1         0
#> 144   24.00      0  28        0         1
#> 53    24.00      0  32        0         1
#> 82.1  24.00      0  34        0         0
#> 3     24.00      0  31        1         0
#> 54.1  24.00      0  53        1         0
#> 1     24.00      0  23        1         0
#> 83    24.00      0   6        0         0
#> 65    24.00      0  57        1         0
#> 103   24.00      0  56        1         0
#> 132.1 24.00      0  55        0         0
#> 7.1   24.00      0  37        1         0
#> 22.1  24.00      0  52        1         0
#> 116   24.00      0  58        0         1
#> 73    24.00      0  NA        0         1
#> 65.1  24.00      0  57        1         0
#> 144.1 24.00      0  28        0         1
#> 147   24.00      0  76        1         0
#> 53.1  24.00      0  32        0         1
#> 174   24.00      0  49        1         0
#> 80    24.00      0  41        0         0
#> 137   24.00      0  45        1         0
#> 11.1  24.00      0  42        0         1
#> 126   24.00      0  48        0         0
#> 2.1   24.00      0   9        0         0
#> 182   24.00      0  35        0         0
#> 121   24.00      0  57        1         0
#> 27    24.00      0  63        1         0
#> 173   24.00      0  19        0         1
#> 147.1 24.00      0  76        1         0
#> 65.2  24.00      0  57        1         0
#> 143   24.00      0  51        0         0
#> 84    24.00      0  39        0         1
#> 38    24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 165   24.00      0  47        0         0
#> 21    24.00      0  47        0         0
#> 144.2 24.00      0  28        0         1
#> 121.1 24.00      0  57        1         0
#> 115   24.00      0  NA        1         0
#> 198   24.00      0  66        0         1
#> 27.1  24.00      0  63        1         0
#> 22.2  24.00      0  52        1         0
#> 200   24.00      0  64        0         0
#> 94    24.00      0  51        0         1
#> 115.1 24.00      0  NA        1         0
#> 112   24.00      0  61        0         0
#> 121.2 24.00      0  57        1         0
#> 196   24.00      0  19        0         0
#> 65.3  24.00      0  57        1         0
#> 102.1 24.00      0  49        0         0
#> 196.1 24.00      0  19        0         0
#> 163   24.00      0  66        0         0
#> 152   24.00      0  36        0         1
#> 46    24.00      0  71        0         0
#> 163.1 24.00      0  66        0         0
#> 131   24.00      0  66        0         0
#> 143.1 24.00      0  51        0         0
#> 185   24.00      0  44        1         0
#> 71    24.00      0  51        0         0
#> 48    24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 112.1 24.00      0  61        0         0
#> 38.1  24.00      0  31        1         0
#> 196.2 24.00      0  19        0         0
#> 137.1 24.00      0  45        1         0
#> 94.1  24.00      0  51        0         1
#> 11.2  24.00      0  42        0         1
#> 143.2 24.00      0  51        0         0
#> 151.1 24.00      0  42        0         0
#> 116.1 24.00      0  58        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.861         NA        NA      NA
#> 2 age, Cure model           0.0252        NA        NA      NA
#> 3 grade_ii, Cure model     -0.511         NA        NA      NA
#> 4 grade_iii, Cure model     0.227         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00665        NA        NA      NA
#> 2 grade_ii, Survival model   0.706          NA        NA      NA
#> 3 grade_iii, Survival model  0.837          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.86057           0.02524          -0.51146           0.22738  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    263.6 
#> Residual Deviance: 255 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.86057278       0.02524298      -0.51145992       0.22738415 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.006652258      0.706496322      0.837317092 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.95976006 0.77515642 0.66749044 0.88848121 0.88374448 0.94706080
#>   [7] 0.73352350 0.50832890 0.48398127 0.28978968 0.93410088 0.50832890
#>  [13] 0.09091898 0.70881697 0.76936186 0.88848121 0.39744160 0.61596075
#>  [19] 0.56639075 0.63905145 0.53905694 0.96393631 0.80835025 0.83445928
#>  [25] 0.84962129 0.09091898 0.30953598 0.72737686 0.58352816 0.95554486
#>  [31] 0.09091898 0.97220725 0.74570679 0.83953841 0.98028402 0.91622193
#>  [37] 0.96808615 0.49646562 0.87895122 0.41415305 0.90250633 0.98826348
#>  [43] 0.68149669 0.19767078 0.98428608 0.75173713 0.77515642 0.60794971
#>  [49] 0.85466394 0.67450219 0.24625677 0.80835025 0.93410088 0.09091898
#>  [55] 0.56639075 0.62373755 0.45668471 0.75765783 0.62373755 0.90716242
#>  [61] 0.93410088 0.94706080 0.98826348 0.79753349 0.99610935 0.70881697
#>  [67] 0.34661372 0.92072050 0.36423251 0.82932364 0.09091898 0.68149669
#>  [73] 0.19767078 0.66045487 0.92072050 0.59196203 0.53905694 0.70203589
#>  [79] 0.63905145 0.36423251 0.44248152 0.82412549 0.68149669 0.90716242
#>  [85] 0.73352350 0.76355547 0.53905694 0.70881697 0.86935708 0.50832890
#>  [91] 0.86445358 0.83953841 0.63905145 0.47074315 0.85466394 0.81886245
#>  [97] 0.78638399 0.79753349 0.30953598 0.92072050 0.88848121 0.78638399
#> [103] 0.86935708 0.41415305 0.59196203 0.24625677 0.97220725 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   145    79   179    56    42    93   184   153   197   129    52 153.1    24 
#> 10.07 16.23 18.63 12.21 12.43 10.33 17.77 21.33 21.60 23.41 10.42 21.33 23.89 
#>    51    85  56.1   169   158    90    55    36   101   125    18   133  24.1 
#> 18.23 16.44 12.21 22.41 20.14 20.94 19.34 21.19  9.97 15.65 15.21 14.65 23.89 
#>   113   134    32    61  24.2   183   117   157    16   107   187   139   177 
#> 22.86 17.81 20.90 10.12 23.89  9.24 17.46 15.10  8.71 11.18  9.92 21.49 12.53 
#>   194    49    70    88    78   149    45  79.1    68    13     8   168 125.1 
#> 22.40 12.19  7.38 18.37 23.88  8.37 17.42 16.23 20.62 14.34 18.43 23.72 15.65 
#>  52.1  24.3  90.1   166   175    23 166.1    43  52.2  93.1  70.1    26    77 
#> 10.42 23.89 20.94 19.98 21.91 16.92 19.98 12.10 10.42 10.33  7.38 15.77  7.27 
#>  51.1    63    10    15   167  24.4  88.1  78.1    76  10.1   190  36.1   108 
#> 18.23 22.77 10.53 22.68 15.55 23.89 18.37 23.88 19.22 10.53 20.81 21.19 18.29 
#>  55.1  15.1    66    39  88.2  43.1 184.1   171  36.2  51.2   123 153.2   155 
#> 19.34 22.68 22.13 15.59 18.37 12.10 17.77 16.57 21.19 18.23 13.00 21.33 13.08 
#> 157.1    58   136  13.1     6   100  26.1 113.1  10.2  56.2 100.1 123.1 194.1 
#> 15.10 19.34 21.83 14.34 15.64 16.07 15.77 22.86 10.53 12.21 16.07 13.00 22.40 
#> 190.1 168.1 183.1   148   102    17   186    74     9    22    11   132   176 
#> 20.81 23.72  9.24 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2    82   172   162   151    54 176.1     7   144    53  82.1     3  54.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1    83    65   103 132.1   7.1  22.1   116  65.1 144.1   147  53.1   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80   137  11.1   126   2.1   182   121    27   173 147.1  65.2   143    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38   118   165    21 144.2 121.1   198  27.1  22.2   200    94   112 121.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196  65.3 102.1 196.1   163   152    46 163.1   131 143.1   185    71    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   119 112.1  38.1 196.2 137.1  94.1  11.2 143.2 151.1 116.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[37]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01126948                0.46694548                0.47525685 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.164265777             0.002994013             0.157551104 
#>   grade_iii, Cure model 
#>             0.671427645 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 13    14.34      1  54        0         1
#> 26    15.77      1  49        0         1
#> 68    20.62      1  44        0         0
#> 52    10.42      1  52        0         1
#> 129   23.41      1  53        1         0
#> 113   22.86      1  34        0         0
#> 49    12.19      1  48        1         0
#> 184   17.77      1  38        0         0
#> 6     15.64      1  39        0         0
#> 139   21.49      1  63        1         0
#> 129.1 23.41      1  53        1         0
#> 199   19.81      1  NA        0         1
#> 99    21.19      1  38        0         1
#> 60    13.15      1  38        1         0
#> 96    14.54      1  33        0         1
#> 183    9.24      1  67        1         0
#> 13.1  14.34      1  54        0         1
#> 134   17.81      1  47        1         0
#> 107   11.18      1  54        1         0
#> 106   16.67      1  49        1         0
#> 166   19.98      1  48        0         0
#> 40    18.00      1  28        1         0
#> 124    9.73      1  NA        1         0
#> 125   15.65      1  67        1         0
#> 81    14.06      1  34        0         0
#> 43    12.10      1  61        0         1
#> 79    16.23      1  54        1         0
#> 78    23.88      1  43        0         0
#> 101    9.97      1  10        0         1
#> 117   17.46      1  26        0         1
#> 128   20.35      1  35        0         1
#> 37    12.52      1  57        1         0
#> 66    22.13      1  53        0         0
#> 25     6.32      1  34        1         0
#> 86    23.81      1  58        0         1
#> 140   12.68      1  59        1         0
#> 63    22.77      1  31        1         0
#> 96.1  14.54      1  33        0         1
#> 125.1 15.65      1  67        1         0
#> 58    19.34      1  39        0         0
#> 36    21.19      1  48        0         1
#> 128.1 20.35      1  35        0         1
#> 63.1  22.77      1  31        1         0
#> 14    12.89      1  21        0         0
#> 79.1  16.23      1  54        1         0
#> 170   19.54      1  43        0         1
#> 6.1   15.64      1  39        0         0
#> 167   15.55      1  56        1         0
#> 58.1  19.34      1  39        0         0
#> 158   20.14      1  74        1         0
#> 24    23.89      1  38        0         0
#> 6.2   15.64      1  39        0         0
#> 188   16.16      1  46        0         1
#> 100   16.07      1  60        0         0
#> 90    20.94      1  50        0         1
#> 58.2  19.34      1  39        0         0
#> 8     18.43      1  32        0         0
#> 40.1  18.00      1  28        1         0
#> 42    12.43      1  49        0         1
#> 159   10.55      1  50        0         1
#> 128.2 20.35      1  35        0         1
#> 136   21.83      1  43        0         1
#> 153   21.33      1  55        1         0
#> 139.1 21.49      1  63        1         0
#> 24.1  23.89      1  38        0         0
#> 190   20.81      1  42        1         0
#> 39    15.59      1  37        0         1
#> 136.1 21.83      1  43        0         1
#> 58.3  19.34      1  39        0         0
#> 139.2 21.49      1  63        1         0
#> 57    14.46      1  45        0         1
#> 166.1 19.98      1  48        0         0
#> 110   17.56      1  65        0         1
#> 97    19.14      1  65        0         1
#> 114   13.68      1  NA        0         0
#> 76    19.22      1  54        0         1
#> 32    20.90      1  37        1         0
#> 37.1  12.52      1  57        1         0
#> 85    16.44      1  36        0         0
#> 111   17.45      1  47        0         1
#> 149    8.37      1  33        1         0
#> 25.1   6.32      1  34        1         0
#> 5     16.43      1  51        0         1
#> 25.2   6.32      1  34        1         0
#> 139.3 21.49      1  63        1         0
#> 45    17.42      1  54        0         1
#> 150   20.33      1  48        0         0
#> 188.1 16.16      1  46        0         1
#> 177   12.53      1  75        0         0
#> 153.1 21.33      1  55        1         0
#> 59    10.16      1  NA        1         0
#> 58.4  19.34      1  39        0         0
#> 197   21.60      1  69        1         0
#> 166.2 19.98      1  48        0         0
#> 86.1  23.81      1  58        0         1
#> 123   13.00      1  44        1         0
#> 58.5  19.34      1  39        0         0
#> 59.1  10.16      1  NA        1         0
#> 187    9.92      1  39        1         0
#> 168   23.72      1  70        0         0
#> 70     7.38      1  30        1         0
#> 8.1   18.43      1  32        0         0
#> 159.1 10.55      1  50        0         1
#> 56    12.21      1  60        0         0
#> 96.2  14.54      1  33        0         1
#> 150.1 20.33      1  48        0         0
#> 97.1  19.14      1  65        0         1
#> 36.1  21.19      1  48        0         1
#> 61    10.12      1  36        0         1
#> 42.1  12.43      1  49        0         1
#> 18    15.21      1  49        1         0
#> 100.1 16.07      1  60        0         0
#> 115   24.00      0  NA        1         0
#> 84    24.00      0  39        0         1
#> 191   24.00      0  60        0         1
#> 174   24.00      0  49        1         0
#> 185   24.00      0  44        1         0
#> 141   24.00      0  44        1         0
#> 9     24.00      0  31        1         0
#> 22    24.00      0  52        1         0
#> 84.1  24.00      0  39        0         1
#> 67    24.00      0  25        0         0
#> 17    24.00      0  38        0         1
#> 196   24.00      0  19        0         0
#> 148   24.00      0  61        1         0
#> 80    24.00      0  41        0         0
#> 28    24.00      0  67        1         0
#> 98    24.00      0  34        1         0
#> 115.1 24.00      0  NA        1         0
#> 191.1 24.00      0  60        0         1
#> 182   24.00      0  35        0         0
#> 1     24.00      0  23        1         0
#> 131   24.00      0  66        0         0
#> 176   24.00      0  43        0         1
#> 200   24.00      0  64        0         0
#> 12    24.00      0  63        0         0
#> 65    24.00      0  57        1         0
#> 46    24.00      0  71        0         0
#> 31    24.00      0  36        0         1
#> 67.1  24.00      0  25        0         0
#> 46.1  24.00      0  71        0         0
#> 142   24.00      0  53        0         0
#> 53    24.00      0  32        0         1
#> 48    24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 3     24.00      0  31        1         0
#> 165   24.00      0  47        0         0
#> 115.2 24.00      0  NA        1         0
#> 144   24.00      0  28        0         1
#> 186   24.00      0  45        1         0
#> 44    24.00      0  56        0         0
#> 80.1  24.00      0  41        0         0
#> 160   24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 87    24.00      0  27        0         0
#> 20    24.00      0  46        1         0
#> 3.1   24.00      0  31        1         0
#> 44.1  24.00      0  56        0         0
#> 147   24.00      0  76        1         0
#> 137   24.00      0  45        1         0
#> 198   24.00      0  66        0         1
#> 120   24.00      0  68        0         1
#> 44.2  24.00      0  56        0         0
#> 109   24.00      0  48        0         0
#> 148.1 24.00      0  61        1         0
#> 83    24.00      0   6        0         0
#> 22.1  24.00      0  52        1         0
#> 53.1  24.00      0  32        0         1
#> 178.1 24.00      0  52        1         0
#> 17.1  24.00      0  38        0         1
#> 148.2 24.00      0  61        1         0
#> 198.1 24.00      0  66        0         1
#> 2     24.00      0   9        0         0
#> 47    24.00      0  38        0         1
#> 31.1  24.00      0  36        0         1
#> 28.1  24.00      0  67        1         0
#> 119   24.00      0  17        0         0
#> 104   24.00      0  50        1         0
#> 80.2  24.00      0  41        0         0
#> 132   24.00      0  55        0         0
#> 132.1 24.00      0  55        0         0
#> 53.2  24.00      0  32        0         1
#> 131.1 24.00      0  66        0         0
#> 22.2  24.00      0  52        1         0
#> 17.2  24.00      0  38        0         1
#> 148.3 24.00      0  61        1         0
#> 132.2 24.00      0  55        0         0
#> 31.2  24.00      0  36        0         1
#> 172   24.00      0  41        0         0
#> 163   24.00      0  66        0         0
#> 7     24.00      0  37        1         0
#> 44.3  24.00      0  56        0         0
#> 165.1 24.00      0  47        0         0
#> 27    24.00      0  63        1         0
#> 72    24.00      0  40        0         1
#> 121   24.00      0  57        1         0
#> 83.1  24.00      0   6        0         0
#> 146   24.00      0  63        1         0
#> 103   24.00      0  56        1         0
#> 186.1 24.00      0  45        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.164          NA        NA      NA
#> 2 age, Cure model          0.00299        NA        NA      NA
#> 3 grade_ii, Cure model     0.158          NA        NA      NA
#> 4 grade_iii, Cure model    0.671          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0113        NA        NA      NA
#> 2 grade_ii, Survival model    0.467         NA        NA      NA
#> 3 grade_iii, Survival model   0.475         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.164266          0.002994          0.157551          0.671428  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    263.6 
#> Residual Deviance: 260 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.164265777      0.002994013      0.157551104      0.671427645 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01126948       0.46694548       0.47525685 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.695991247 0.559926340 0.194178223 0.890473532 0.033091705 0.046710206
#>   [7] 0.835556814 0.419515444 0.590933793 0.099064346 0.033091705 0.145289859
#>  [13] 0.727766190 0.654136893 0.934528982 0.695991247 0.409676846 0.857521966
#>  [19] 0.469237800 0.252551342 0.390263950 0.570262628 0.717088462 0.846525769
#>  [25] 0.499345374 0.008797197 0.912566017 0.439406986 0.202677666 0.781378396
#>  [31] 0.068523767 0.967522235 0.014812434 0.759821808 0.054499093 0.654136893
#>  [37] 0.570262628 0.288016657 0.145289859 0.202677666 0.054499093 0.749113694
#>  [43] 0.499345374 0.278928717 0.590933793 0.632854328 0.288016657 0.243829176
#>  [49] 0.001896251 0.590933793 0.519392422 0.539472286 0.169093772 0.288016657
#>  [55] 0.370692148 0.390263950 0.802966706 0.868536815 0.202677666 0.076316728
#>  [61] 0.129030643 0.099064346 0.001896251 0.185821814 0.622247223 0.076316728
#>  [67] 0.288016657 0.099064346 0.685401855 0.252551342 0.429435086 0.351428440
#>  [73] 0.341782599 0.177467855 0.781378396 0.479220563 0.449333861 0.945541036
#>  [79] 0.967522235 0.489273167 0.967522235 0.099064346 0.459272371 0.226879753
#>  [85] 0.519392422 0.770557094 0.129030643 0.288016657 0.091142622 0.252551342
#>  [91] 0.014812434 0.738437743 0.288016657 0.923549315 0.025846596 0.956540319
#>  [97] 0.370692148 0.868536815 0.824598120 0.654136893 0.226879753 0.351428440
#> [103] 0.145289859 0.901524648 0.802966706 0.643488418 0.539472286 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    13    26    68    52   129   113    49   184     6   139 129.1    99    60 
#> 14.34 15.77 20.62 10.42 23.41 22.86 12.19 17.77 15.64 21.49 23.41 21.19 13.15 
#>    96   183  13.1   134   107   106   166    40   125    81    43    79    78 
#> 14.54  9.24 14.34 17.81 11.18 16.67 19.98 18.00 15.65 14.06 12.10 16.23 23.88 
#>   101   117   128    37    66    25    86   140    63  96.1 125.1    58    36 
#>  9.97 17.46 20.35 12.52 22.13  6.32 23.81 12.68 22.77 14.54 15.65 19.34 21.19 
#> 128.1  63.1    14  79.1   170   6.1   167  58.1   158    24   6.2   188   100 
#> 20.35 22.77 12.89 16.23 19.54 15.64 15.55 19.34 20.14 23.89 15.64 16.16 16.07 
#>    90  58.2     8  40.1    42   159 128.2   136   153 139.1  24.1   190    39 
#> 20.94 19.34 18.43 18.00 12.43 10.55 20.35 21.83 21.33 21.49 23.89 20.81 15.59 
#> 136.1  58.3 139.2    57 166.1   110    97    76    32  37.1    85   111   149 
#> 21.83 19.34 21.49 14.46 19.98 17.56 19.14 19.22 20.90 12.52 16.44 17.45  8.37 
#>  25.1     5  25.2 139.3    45   150 188.1   177 153.1  58.4   197 166.2  86.1 
#>  6.32 16.43  6.32 21.49 17.42 20.33 16.16 12.53 21.33 19.34 21.60 19.98 23.81 
#>   123  58.5   187   168    70   8.1 159.1    56  96.2 150.1  97.1  36.1    61 
#> 13.00 19.34  9.92 23.72  7.38 18.43 10.55 12.21 14.54 20.33 19.14 21.19 10.12 
#>  42.1    18 100.1    84   191   174   185   141     9    22  84.1    67    17 
#> 12.43 15.21 16.07 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196   148    80    28    98 191.1   182     1   131   176   200    12    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    46    31  67.1  46.1   142    53    48   178     3   165   144   186    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  80.1   160   161    87    20   3.1  44.1   147   137   198   120  44.2   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 148.1    83  22.1  53.1 178.1  17.1 148.2 198.1     2    47  31.1  28.1   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104  80.2   132 132.1  53.2 131.1  22.2  17.2 148.3 132.2  31.2   172   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7  44.3 165.1    27    72   121  83.1   146   103 186.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[38]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.007618638               0.250305660              -0.166407109 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.26709940              0.02487863             -0.10454917 
#>   grade_iii, Cure model 
#>              0.51797987 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 177   12.53      1  75        0         0
#> 125   15.65      1  67        1         0
#> 18    15.21      1  49        1         0
#> 154   12.63      1  20        1         0
#> 127    3.53      1  62        0         1
#> 36    21.19      1  48        0         1
#> 68    20.62      1  44        0         0
#> 125.1 15.65      1  67        1         0
#> 5     16.43      1  51        0         1
#> 188   16.16      1  46        0         1
#> 52    10.42      1  52        0         1
#> 150   20.33      1  48        0         0
#> 26    15.77      1  49        0         1
#> 105   19.75      1  60        0         0
#> 150.1 20.33      1  48        0         0
#> 92    22.92      1  47        0         1
#> 117   17.46      1  26        0         1
#> 69    23.23      1  25        0         1
#> 29    15.45      1  68        1         0
#> 40    18.00      1  28        1         0
#> 199   19.81      1  NA        0         1
#> 4     17.64      1  NA        0         1
#> 45    17.42      1  54        0         1
#> 16     8.71      1  71        0         1
#> 96    14.54      1  33        0         1
#> 108   18.29      1  39        0         1
#> 154.1 12.63      1  20        1         0
#> 6     15.64      1  39        0         0
#> 159   10.55      1  50        0         1
#> 188.1 16.16      1  46        0         1
#> 159.1 10.55      1  50        0         1
#> 91     5.33      1  61        0         1
#> 86    23.81      1  58        0         1
#> 55    19.34      1  69        0         1
#> 4.1   17.64      1  NA        0         1
#> 192   16.44      1  31        1         0
#> 195   11.76      1  NA        1         0
#> 39    15.59      1  37        0         1
#> 86.1  23.81      1  58        0         1
#> 4.2   17.64      1  NA        0         1
#> 192.1 16.44      1  31        1         0
#> 111   17.45      1  47        0         1
#> 86.2  23.81      1  58        0         1
#> 140   12.68      1  59        1         0
#> 171   16.57      1  41        0         1
#> 45.1  17.42      1  54        0         1
#> 128   20.35      1  35        0         1
#> 170   19.54      1  43        0         1
#> 170.1 19.54      1  43        0         1
#> 105.1 19.75      1  60        0         0
#> 68.1  20.62      1  44        0         0
#> 45.2  17.42      1  54        0         1
#> 56    12.21      1  60        0         0
#> 69.1  23.23      1  25        0         1
#> 133   14.65      1  57        0         0
#> 85    16.44      1  36        0         0
#> 42    12.43      1  49        0         1
#> 4.3   17.64      1  NA        0         1
#> 114   13.68      1  NA        0         0
#> 179   18.63      1  42        0         0
#> 139   21.49      1  63        1         0
#> 157   15.10      1  47        0         0
#> 158   20.14      1  74        1         0
#> 91.1   5.33      1  61        0         1
#> 15    22.68      1  48        0         0
#> 136   21.83      1  43        0         1
#> 86.3  23.81      1  58        0         1
#> 150.2 20.33      1  48        0         0
#> 195.1 11.76      1  NA        1         0
#> 155   13.08      1  26        0         0
#> 30    17.43      1  78        0         0
#> 179.1 18.63      1  42        0         0
#> 140.1 12.68      1  59        1         0
#> 56.1  12.21      1  60        0         0
#> 184   17.77      1  38        0         0
#> 129   23.41      1  53        1         0
#> 177.1 12.53      1  75        0         0
#> 50    10.02      1  NA        1         0
#> 49    12.19      1  48        1         0
#> 18.1  15.21      1  49        1         0
#> 106   16.67      1  49        1         0
#> 169   22.41      1  46        0         0
#> 190   20.81      1  42        1         0
#> 171.1 16.57      1  41        0         1
#> 164   23.60      1  76        0         1
#> 107   11.18      1  54        1         0
#> 26.1  15.77      1  49        0         1
#> 150.3 20.33      1  48        0         0
#> 41    18.02      1  40        1         0
#> 130   16.47      1  53        0         1
#> 189   10.51      1  NA        1         0
#> 36.1  21.19      1  48        0         1
#> 114.1 13.68      1  NA        0         0
#> 199.1 19.81      1  NA        0         1
#> 59    10.16      1  NA        1         0
#> 49.1  12.19      1  48        1         0
#> 114.2 13.68      1  NA        0         0
#> 32    20.90      1  37        1         0
#> 14    12.89      1  21        0         0
#> 39.1  15.59      1  37        0         1
#> 175   21.91      1  43        0         0
#> 130.1 16.47      1  53        0         1
#> 168   23.72      1  70        0         0
#> 42.1  12.43      1  49        0         1
#> 190.1 20.81      1  42        1         0
#> 124    9.73      1  NA        1         0
#> 49.2  12.19      1  48        1         0
#> 195.2 11.76      1  NA        1         0
#> 180   14.82      1  37        0         0
#> 57    14.46      1  45        0         1
#> 89    11.44      1  NA        0         0
#> 197   21.60      1  69        1         0
#> 121   24.00      0  57        1         0
#> 17    24.00      0  38        0         1
#> 147   24.00      0  76        1         0
#> 148   24.00      0  61        1         0
#> 35    24.00      0  51        0         0
#> 156   24.00      0  50        1         0
#> 38    24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 84    24.00      0  39        0         1
#> 31    24.00      0  36        0         1
#> 34    24.00      0  36        0         0
#> 172   24.00      0  41        0         0
#> 141   24.00      0  44        1         0
#> 119   24.00      0  17        0         0
#> 27    24.00      0  63        1         0
#> 94    24.00      0  51        0         1
#> 11    24.00      0  42        0         1
#> 72    24.00      0  40        0         1
#> 82    24.00      0  34        0         0
#> 191   24.00      0  60        0         1
#> 116   24.00      0  58        0         1
#> 47    24.00      0  38        0         1
#> 33    24.00      0  53        0         0
#> 35.1  24.00      0  51        0         0
#> 173   24.00      0  19        0         1
#> 176   24.00      0  43        0         1
#> 21    24.00      0  47        0         0
#> 38.1  24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 47.1  24.00      0  38        0         1
#> 200   24.00      0  64        0         0
#> 126   24.00      0  48        0         0
#> 163   24.00      0  66        0         0
#> 80    24.00      0  41        0         0
#> 74    24.00      0  43        0         1
#> 119.1 24.00      0  17        0         0
#> 9     24.00      0  31        1         0
#> 31.1  24.00      0  36        0         1
#> 103   24.00      0  56        1         0
#> 82.1  24.00      0  34        0         0
#> 31.2  24.00      0  36        0         1
#> 186   24.00      0  45        1         0
#> 112   24.00      0  61        0         0
#> 131   24.00      0  66        0         0
#> 84.1  24.00      0  39        0         1
#> 143   24.00      0  51        0         0
#> 38.2  24.00      0  31        1         0
#> 74.1  24.00      0  43        0         1
#> 191.1 24.00      0  60        0         1
#> 152   24.00      0  36        0         1
#> 161.1 24.00      0  45        0         0
#> 162   24.00      0  51        0         0
#> 34.1  24.00      0  36        0         0
#> 132   24.00      0  55        0         0
#> 198   24.00      0  66        0         1
#> 72.1  24.00      0  40        0         1
#> 144   24.00      0  28        0         1
#> 156.1 24.00      0  50        1         0
#> 7     24.00      0  37        1         0
#> 156.2 24.00      0  50        1         0
#> 156.3 24.00      0  50        1         0
#> 95    24.00      0  68        0         1
#> 67    24.00      0  25        0         0
#> 74.2  24.00      0  43        0         1
#> 172.1 24.00      0  41        0         0
#> 185   24.00      0  44        1         0
#> 119.2 24.00      0  17        0         0
#> 185.1 24.00      0  44        1         0
#> 141.1 24.00      0  44        1         0
#> 74.3  24.00      0  43        0         1
#> 118   24.00      0  44        1         0
#> 148.1 24.00      0  61        1         0
#> 11.1  24.00      0  42        0         1
#> 27.1  24.00      0  63        1         0
#> 152.1 24.00      0  36        0         1
#> 132.1 24.00      0  55        0         0
#> 137   24.00      0  45        1         0
#> 27.2  24.00      0  63        1         0
#> 162.1 24.00      0  51        0         0
#> 104.1 24.00      0  50        1         0
#> 182   24.00      0  35        0         0
#> 146   24.00      0  63        1         0
#> 47.2  24.00      0  38        0         1
#> 47.3  24.00      0  38        0         1
#> 132.2 24.00      0  55        0         0
#> 67.1  24.00      0  25        0         0
#> 54    24.00      0  53        1         0
#> 185.2 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.27          NA        NA      NA
#> 2 age, Cure model           0.0249        NA        NA      NA
#> 3 grade_ii, Cure model     -0.105         NA        NA      NA
#> 4 grade_iii, Cure model     0.518         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00762        NA        NA      NA
#> 2 grade_ii, Survival model   0.250          NA        NA      NA
#> 3 grade_iii, Survival model -0.166          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.26710           0.02488          -0.10455           0.51798  
#> 
#> Degrees of Freedom: 182 Total (i.e. Null);  179 Residual
#> Null Deviance:	    253.4 
#> Residual Deviance: 246.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.26709940       0.02487863      -0.10454917       0.51797987 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.007618638      0.250305660     -0.166407109 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.757806077 0.508488268 0.584553090 0.730858389 0.984992946 0.079676986
#>   [7] 0.117943424 0.508488268 0.447749064 0.459718757 0.926156081 0.142232915
#>  [13] 0.483847178 0.184108831 0.142232915 0.033000587 0.291723701 0.022933726
#>  [19] 0.571589673 0.271178928 0.323481689 0.940729626 0.649881339 0.250720739
#>  [25] 0.730858389 0.533406132 0.897431255 0.459718757 0.897431255 0.955418554
#>  [31] 0.001463108 0.221144116 0.413174459 0.546091152 0.001463108 0.413174459
#>  [37] 0.302155981 0.001463108 0.703808208 0.367274393 0.323481689 0.133848317
#>  [43] 0.202295830 0.202295830 0.184108831 0.117943424 0.323481689 0.812952789
#>  [49] 0.022933726 0.636608161 0.413174459 0.785177480 0.230992435 0.072352821
#>  [55] 0.610323428 0.175114076 0.955418554 0.038892174 0.058189292 0.001463108
#>  [61] 0.142232915 0.676722546 0.312737390 0.230992435 0.703808208 0.812952789
#>  [67] 0.281404171 0.017965806 0.757806077 0.841080749 0.584553090 0.356034060
#>  [73] 0.045071791 0.102628901 0.367274393 0.013192765 0.883146368 0.483847178
#>  [79] 0.142232915 0.260939186 0.389930854 0.079676986 0.841080749 0.094747052
#>  [85] 0.690245731 0.546091152 0.051513533 0.389930854 0.009187525 0.785177480
#>  [91] 0.102628901 0.841080749 0.623431763 0.663247757 0.065178174 0.000000000
#>  [97] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   177   125    18   154   127    36    68 125.1     5   188    52   150    26 
#> 12.53 15.65 15.21 12.63  3.53 21.19 20.62 15.65 16.43 16.16 10.42 20.33 15.77 
#>   105 150.1    92   117    69    29    40    45    16    96   108 154.1     6 
#> 19.75 20.33 22.92 17.46 23.23 15.45 18.00 17.42  8.71 14.54 18.29 12.63 15.64 
#>   159 188.1 159.1    91    86    55   192    39  86.1 192.1   111  86.2   140 
#> 10.55 16.16 10.55  5.33 23.81 19.34 16.44 15.59 23.81 16.44 17.45 23.81 12.68 
#>   171  45.1   128   170 170.1 105.1  68.1  45.2    56  69.1   133    85    42 
#> 16.57 17.42 20.35 19.54 19.54 19.75 20.62 17.42 12.21 23.23 14.65 16.44 12.43 
#>   179   139   157   158  91.1    15   136  86.3 150.2   155    30 179.1 140.1 
#> 18.63 21.49 15.10 20.14  5.33 22.68 21.83 23.81 20.33 13.08 17.43 18.63 12.68 
#>  56.1   184   129 177.1    49  18.1   106   169   190 171.1   164   107  26.1 
#> 12.21 17.77 23.41 12.53 12.19 15.21 16.67 22.41 20.81 16.57 23.60 11.18 15.77 
#> 150.3    41   130  36.1  49.1    32    14  39.1   175 130.1   168  42.1 190.1 
#> 20.33 18.02 16.47 21.19 12.19 20.90 12.89 15.59 21.91 16.47 23.72 12.43 20.81 
#>  49.2   180    57   197   121    17   147   148    35   156    38   161    84 
#> 12.19 14.82 14.46 21.60 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31    34   172   141   119    27    94    11    72    82   191   116    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33  35.1   173   176    21  38.1   104  47.1   200   126   163    80    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 119.1     9  31.1   103  82.1  31.2   186   112   131  84.1   143  38.2  74.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 191.1   152 161.1   162  34.1   132   198  72.1   144 156.1     7 156.2 156.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95    67  74.2 172.1   185 119.2 185.1 141.1  74.3   118 148.1  11.1  27.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 152.1 132.1   137  27.2 162.1 104.1   182   146  47.2  47.3 132.2  67.1    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 185.2 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[39]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003021454               0.659162242               0.781504782 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.736176638             0.014069726             0.001551131 
#>   grade_iii, Cure model 
#>             0.655004691 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 89    11.44      1  NA        0         0
#> 93    10.33      1  52        0         1
#> 128   20.35      1  35        0         1
#> 8     18.43      1  32        0         0
#> 171   16.57      1  41        0         1
#> 99    21.19      1  38        0         1
#> 15    22.68      1  48        0         0
#> 189   10.51      1  NA        1         0
#> 164   23.60      1  76        0         1
#> 181   16.46      1  45        0         1
#> 39    15.59      1  37        0         1
#> 101    9.97      1  10        0         1
#> 59    10.16      1  NA        1         0
#> 25     6.32      1  34        1         0
#> 78    23.88      1  43        0         0
#> 85    16.44      1  36        0         0
#> 128.1 20.35      1  35        0         1
#> 96    14.54      1  33        0         1
#> 26    15.77      1  49        0         1
#> 42    12.43      1  49        0         1
#> 14    12.89      1  21        0         0
#> 117   17.46      1  26        0         1
#> 183    9.24      1  67        1         0
#> 36    21.19      1  48        0         1
#> 133   14.65      1  57        0         0
#> 114   13.68      1  NA        0         0
#> 51    18.23      1  83        0         1
#> 63    22.77      1  31        1         0
#> 169   22.41      1  46        0         0
#> 183.1  9.24      1  67        1         0
#> 51.1  18.23      1  83        0         1
#> 45    17.42      1  54        0         1
#> 180   14.82      1  37        0         0
#> 195   11.76      1  NA        1         0
#> 43    12.10      1  61        0         1
#> 114.1 13.68      1  NA        0         0
#> 18    15.21      1  49        1         0
#> 89.1  11.44      1  NA        0         0
#> 32    20.90      1  37        1         0
#> 127    3.53      1  62        0         1
#> 150   20.33      1  48        0         0
#> 56    12.21      1  60        0         0
#> 78.1  23.88      1  43        0         0
#> 180.1 14.82      1  37        0         0
#> 181.1 16.46      1  45        0         1
#> 68    20.62      1  44        0         0
#> 171.1 16.57      1  41        0         1
#> 37    12.52      1  57        1         0
#> 4     17.64      1  NA        0         1
#> 18.1  15.21      1  49        1         0
#> 180.2 14.82      1  37        0         0
#> 105   19.75      1  60        0         0
#> 154   12.63      1  20        1         0
#> 55    19.34      1  69        0         1
#> 127.1  3.53      1  62        0         1
#> 113   22.86      1  34        0         0
#> 197   21.60      1  69        1         0
#> 100   16.07      1  60        0         0
#> 190   20.81      1  42        1         0
#> 45.1  17.42      1  54        0         1
#> 63.1  22.77      1  31        1         0
#> 79    16.23      1  54        1         0
#> 4.1   17.64      1  NA        0         1
#> 189.1 10.51      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 88    18.37      1  47        0         0
#> 39.1  15.59      1  37        0         1
#> 52    10.42      1  52        0         1
#> 166   19.98      1  48        0         0
#> 49    12.19      1  48        1         0
#> 190.1 20.81      1  42        1         0
#> 169.1 22.41      1  46        0         0
#> 195.1 11.76      1  NA        1         0
#> 159   10.55      1  50        0         1
#> 158   20.14      1  74        1         0
#> 149    8.37      1  33        1         0
#> 23    16.92      1  61        0         0
#> 134   17.81      1  47        1         0
#> 168   23.72      1  70        0         0
#> 5     16.43      1  51        0         1
#> 101.1  9.97      1  10        0         1
#> 16     8.71      1  71        0         1
#> 175   21.91      1  43        0         0
#> 8.1   18.43      1  32        0         0
#> 125   15.65      1  67        1         0
#> 8.2   18.43      1  32        0         0
#> 5.1   16.43      1  51        0         1
#> 117.1 17.46      1  26        0         1
#> 192   16.44      1  31        1         0
#> 91.1   5.33      1  61        0         1
#> 189.2 10.51      1  NA        1         0
#> 13    14.34      1  54        0         1
#> 101.2  9.97      1  10        0         1
#> 92    22.92      1  47        0         1
#> 167   15.55      1  56        1         0
#> 41    18.02      1  40        1         0
#> 113.1 22.86      1  34        0         0
#> 100.1 16.07      1  60        0         0
#> 36.1  21.19      1  48        0         1
#> 45.2  17.42      1  54        0         1
#> 76    19.22      1  54        0         1
#> 183.2  9.24      1  67        1         0
#> 26.1  15.77      1  49        0         1
#> 40    18.00      1  28        1         0
#> 18.2  15.21      1  49        1         0
#> 166.1 19.98      1  48        0         0
#> 197.1 21.60      1  69        1         0
#> 60    13.15      1  38        1         0
#> 105.1 19.75      1  60        0         0
#> 30    17.43      1  78        0         0
#> 188   16.16      1  46        0         1
#> 66    22.13      1  53        0         0
#> 131   24.00      0  66        0         0
#> 120   24.00      0  68        0         1
#> 156   24.00      0  50        1         0
#> 46    24.00      0  71        0         0
#> 165   24.00      0  47        0         0
#> 54    24.00      0  53        1         0
#> 2     24.00      0   9        0         0
#> 75    24.00      0  21        1         0
#> 98    24.00      0  34        1         0
#> 137   24.00      0  45        1         0
#> 142   24.00      0  53        0         0
#> 160   24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 83    24.00      0   6        0         0
#> 64    24.00      0  43        0         0
#> 12    24.00      0  63        0         0
#> 193   24.00      0  45        0         1
#> 160.1 24.00      0  31        1         0
#> 98.1  24.00      0  34        1         0
#> 147   24.00      0  76        1         0
#> 185   24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 9     24.00      0  31        1         0
#> 165.1 24.00      0  47        0         0
#> 172.1 24.00      0  41        0         0
#> 198   24.00      0  66        0         1
#> 65    24.00      0  57        1         0
#> 121   24.00      0  57        1         0
#> 144   24.00      0  28        0         1
#> 198.1 24.00      0  66        0         1
#> 152   24.00      0  36        0         1
#> 176   24.00      0  43        0         1
#> 137.1 24.00      0  45        1         0
#> 109   24.00      0  48        0         0
#> 162   24.00      0  51        0         0
#> 120.1 24.00      0  68        0         1
#> 147.1 24.00      0  76        1         0
#> 53    24.00      0  32        0         1
#> 104   24.00      0  50        1         0
#> 84    24.00      0  39        0         1
#> 135   24.00      0  58        1         0
#> 80    24.00      0  41        0         0
#> 152.1 24.00      0  36        0         1
#> 161   24.00      0  45        0         0
#> 160.2 24.00      0  31        1         0
#> 161.1 24.00      0  45        0         0
#> 71    24.00      0  51        0         0
#> 173   24.00      0  19        0         1
#> 67    24.00      0  25        0         0
#> 172.2 24.00      0  41        0         0
#> 122   24.00      0  66        0         0
#> 132   24.00      0  55        0         0
#> 80.1  24.00      0  41        0         0
#> 185.1 24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 173.1 24.00      0  19        0         1
#> 2.1   24.00      0   9        0         0
#> 172.3 24.00      0  41        0         0
#> 198.2 24.00      0  66        0         1
#> 31    24.00      0  36        0         1
#> 53.1  24.00      0  32        0         1
#> 104.1 24.00      0  50        1         0
#> 53.2  24.00      0  32        0         1
#> 83.1  24.00      0   6        0         0
#> 33    24.00      0  53        0         0
#> 200   24.00      0  64        0         0
#> 176.1 24.00      0  43        0         1
#> 144.1 24.00      0  28        0         1
#> 17    24.00      0  38        0         1
#> 165.2 24.00      0  47        0         0
#> 48    24.00      0  31        1         0
#> 121.1 24.00      0  57        1         0
#> 191   24.00      0  60        0         1
#> 47    24.00      0  38        0         1
#> 121.2 24.00      0  57        1         0
#> 12.1  24.00      0  63        0         0
#> 75.1  24.00      0  21        1         0
#> 176.2 24.00      0  43        0         1
#> 196   24.00      0  19        0         0
#> 62    24.00      0  71        0         0
#> 104.2 24.00      0  50        1         0
#> 17.1  24.00      0  38        0         1
#> 103   24.00      0  56        1         0
#> 174   24.00      0  49        1         0
#> 73    24.00      0  NA        0         1
#> 135.1 24.00      0  58        1         0
#> 141   24.00      0  44        1         0
#> 126   24.00      0  48        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.736          NA        NA      NA
#> 2 age, Cure model          0.0141         NA        NA      NA
#> 3 grade_ii, Cure model     0.00155        NA        NA      NA
#> 4 grade_iii, Cure model    0.655          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00302        NA        NA      NA
#> 2 grade_ii, Survival model   0.659          NA        NA      NA
#> 3 grade_iii, Survival model  0.782          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.736177          0.014070          0.001551          0.655005  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258.3 
#> Residual Deviance: 251.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.736176638      0.014069726      0.001551131      0.655004691 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003021454      0.659162242      0.781504782 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.90530306 0.35566105 0.46131527 0.61562677 0.27460224 0.17380915
#>   [7] 0.07675987 0.63312701 0.74044647 0.91240592 0.96691568 0.01664623
#>  [13] 0.65019930 0.35566105 0.81683027 0.71645196 0.86172055 0.83942181
#>  [19] 0.55185440 0.93301435 0.27460224 0.80917443 0.50225717 0.14611495
#>  [25] 0.18842130 0.93301435 0.50225717 0.57987896 0.78645719 0.88369758
#>  [31] 0.76380920 0.31002676 0.98689107 0.37678399 0.86905309 0.01664623
#>  [37] 0.78645719 0.63312701 0.34427531 0.61562677 0.85433244 0.76380920
#>  [43] 0.78645719 0.41919053 0.84690402 0.44042440 0.98689107 0.11380321
#>  [49] 0.24716271 0.70012892 0.32197072 0.57987896 0.14611495 0.68368518
#>  [55] 0.97363929 0.49183632 0.74044647 0.89815154 0.39813371 0.87639590
#>  [61] 0.32197072 0.18842130 0.89095031 0.38753908 0.96015709 0.60657244
#>  [67] 0.54213251 0.05198338 0.66712557 0.91240592 0.95336264 0.23205869
#>  [73] 0.46131527 0.73245273 0.46131527 0.66712557 0.55185440 0.65019930
#>  [79] 0.97363929 0.82441662 0.91240592 0.09684592 0.75602855 0.52230638
#>  [85] 0.11380321 0.70012892 0.27460224 0.57987896 0.45097335 0.93301435
#>  [91] 0.71645196 0.53229110 0.76380920 0.39813371 0.24716271 0.83194369
#>  [97] 0.41919053 0.57046433 0.69195107 0.21707380 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>    93   128     8   171    99    15   164   181    39   101    25    78    85 
#> 10.33 20.35 18.43 16.57 21.19 22.68 23.60 16.46 15.59  9.97  6.32 23.88 16.44 
#> 128.1    96    26    42    14   117   183    36   133    51    63   169 183.1 
#> 20.35 14.54 15.77 12.43 12.89 17.46  9.24 21.19 14.65 18.23 22.77 22.41  9.24 
#>  51.1    45   180    43    18    32   127   150    56  78.1 180.1 181.1    68 
#> 18.23 17.42 14.82 12.10 15.21 20.90  3.53 20.33 12.21 23.88 14.82 16.46 20.62 
#> 171.1    37  18.1 180.2   105   154    55 127.1   113   197   100   190  45.1 
#> 16.57 12.52 15.21 14.82 19.75 12.63 19.34  3.53 22.86 21.60 16.07 20.81 17.42 
#>  63.1    79    91    88  39.1    52   166    49 190.1 169.1   159   158   149 
#> 22.77 16.23  5.33 18.37 15.59 10.42 19.98 12.19 20.81 22.41 10.55 20.14  8.37 
#>    23   134   168     5 101.1    16   175   8.1   125   8.2   5.1 117.1   192 
#> 16.92 17.81 23.72 16.43  9.97  8.71 21.91 18.43 15.65 18.43 16.43 17.46 16.44 
#>  91.1    13 101.2    92   167    41 113.1 100.1  36.1  45.2    76 183.2  26.1 
#>  5.33 14.34  9.97 22.92 15.55 18.02 22.86 16.07 21.19 17.42 19.22  9.24 15.77 
#>    40  18.2 166.1 197.1    60 105.1    30   188    66   131   120   156    46 
#> 18.00 15.21 19.98 21.60 13.15 19.75 17.43 16.16 22.13 24.00 24.00 24.00 24.00 
#>   165    54     2    75    98   137   142   160   172    83    64    12   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 160.1  98.1   147   185    82     9 165.1 172.1   198    65   121   144 198.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152   176 137.1   109   162 120.1 147.1    53   104    84   135    80 152.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161 160.2 161.1    71   173    67 172.2   122   132  80.1 185.1   112 173.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   2.1 172.3 198.2    31  53.1 104.1  53.2  83.1    33   200 176.1 144.1    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 165.2    48 121.1   191    47 121.2  12.1  75.1 176.2   196    62 104.2  17.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103   174 135.1   141   126 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[40]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01428816                0.37016821                0.38099898 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.31127820              0.01543184              0.63358882 
#>   grade_iii, Cure model 
#>              1.70543340 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 61    10.12      1  36        0         1
#> 25     6.32      1  34        1         0
#> 133   14.65      1  57        0         0
#> 124    9.73      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 42    12.43      1  49        0         1
#> 171   16.57      1  41        0         1
#> 43    12.10      1  61        0         1
#> 96    14.54      1  33        0         1
#> 150   20.33      1  48        0         0
#> 13    14.34      1  54        0         1
#> 61.1  10.12      1  36        0         1
#> 155   13.08      1  26        0         0
#> 39    15.59      1  37        0         1
#> 63    22.77      1  31        1         0
#> 180   14.82      1  37        0         0
#> 30    17.43      1  78        0         0
#> 107   11.18      1  54        1         0
#> 127    3.53      1  62        0         1
#> 57    14.46      1  45        0         1
#> 23    16.92      1  61        0         0
#> 66    22.13      1  53        0         0
#> 79    16.23      1  54        1         0
#> 5     16.43      1  51        0         1
#> 164   23.60      1  76        0         1
#> 30.1  17.43      1  78        0         0
#> 4     17.64      1  NA        0         1
#> 85    16.44      1  36        0         0
#> 25.1   6.32      1  34        1         0
#> 81    14.06      1  34        0         0
#> 29    15.45      1  68        1         0
#> 61.2  10.12      1  36        0         1
#> 45    17.42      1  54        0         1
#> 96.1  14.54      1  33        0         1
#> 43.1  12.10      1  61        0         1
#> 136   21.83      1  43        0         1
#> 60    13.15      1  38        1         0
#> 41    18.02      1  40        1         0
#> 15    22.68      1  48        0         0
#> 55    19.34      1  69        0         1
#> 89    11.44      1  NA        0         0
#> 124.1  9.73      1  NA        1         0
#> 57.1  14.46      1  45        0         1
#> 114   13.68      1  NA        0         0
#> 81.1  14.06      1  34        0         0
#> 157   15.10      1  47        0         0
#> 139   21.49      1  63        1         0
#> 76    19.22      1  54        0         1
#> 155.1 13.08      1  26        0         0
#> 92    22.92      1  47        0         1
#> 45.1  17.42      1  54        0         1
#> 175   21.91      1  43        0         0
#> 97    19.14      1  65        0         1
#> 77     7.27      1  67        0         1
#> 105   19.75      1  60        0         0
#> 159   10.55      1  50        0         1
#> 181   16.46      1  45        0         1
#> 199   19.81      1  NA        0         1
#> 77.1   7.27      1  67        0         1
#> 177   12.53      1  75        0         0
#> 170   19.54      1  43        0         1
#> 23.1  16.92      1  61        0         0
#> 140   12.68      1  59        1         0
#> 114.1 13.68      1  NA        0         0
#> 58    19.34      1  39        0         0
#> 55.1  19.34      1  69        0         1
#> 195   11.76      1  NA        1         0
#> 88    18.37      1  47        0         0
#> 128   20.35      1  35        0         1
#> 32    20.90      1  37        1         0
#> 32.1  20.90      1  37        1         0
#> 129   23.41      1  53        1         0
#> 29.1  15.45      1  68        1         0
#> 16     8.71      1  71        0         1
#> 24    23.89      1  38        0         0
#> 168   23.72      1  70        0         0
#> 159.1 10.55      1  50        0         1
#> 181.1 16.46      1  45        0         1
#> 199.1 19.81      1  NA        0         1
#> 5.1   16.43      1  51        0         1
#> 188   16.16      1  46        0         1
#> 107.1 11.18      1  54        1         0
#> 164.1 23.60      1  76        0         1
#> 96.2  14.54      1  33        0         1
#> 107.2 11.18      1  54        1         0
#> 164.2 23.60      1  76        0         1
#> 89.1  11.44      1  NA        0         0
#> 92.1  22.92      1  47        0         1
#> 117   17.46      1  26        0         1
#> 140.1 12.68      1  59        1         0
#> 157.1 15.10      1  47        0         0
#> 125   15.65      1  67        1         0
#> 195.1 11.76      1  NA        1         0
#> 101    9.97      1  10        0         1
#> 101.1  9.97      1  10        0         1
#> 4.1   17.64      1  NA        0         1
#> 123   13.00      1  44        1         0
#> 106   16.67      1  49        1         0
#> 29.2  15.45      1  68        1         0
#> 4.2   17.64      1  NA        0         1
#> 32.2  20.90      1  37        1         0
#> 154   12.63      1  20        1         0
#> 125.1 15.65      1  67        1         0
#> 167   15.55      1  56        1         0
#> 167.1 15.55      1  56        1         0
#> 14    12.89      1  21        0         0
#> 199.2 19.81      1  NA        0         1
#> 110   17.56      1  65        0         1
#> 77.2   7.27      1  67        0         1
#> 133.1 14.65      1  57        0         0
#> 8     18.43      1  32        0         0
#> 13.1  14.34      1  54        0         1
#> 119   24.00      0  17        0         0
#> 71    24.00      0  51        0         0
#> 72    24.00      0  40        0         1
#> 116   24.00      0  58        0         1
#> 27    24.00      0  63        1         0
#> 22    24.00      0  52        1         0
#> 137   24.00      0  45        1         0
#> 31    24.00      0  36        0         1
#> 35    24.00      0  51        0         0
#> 1     24.00      0  23        1         0
#> 80    24.00      0  41        0         0
#> 31.1  24.00      0  36        0         1
#> 196   24.00      0  19        0         0
#> 35.1  24.00      0  51        0         0
#> 72.1  24.00      0  40        0         1
#> 185   24.00      0  44        1         0
#> 72.2  24.00      0  40        0         1
#> 22.1  24.00      0  52        1         0
#> 87    24.00      0  27        0         0
#> 163   24.00      0  66        0         0
#> 143   24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 2     24.00      0   9        0         0
#> 2.1   24.00      0   9        0         0
#> 109   24.00      0  48        0         0
#> 3     24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 82    24.00      0  34        0         0
#> 73    24.00      0  NA        0         1
#> 162   24.00      0  51        0         0
#> 191   24.00      0  60        0         1
#> 142   24.00      0  53        0         0
#> 71.1  24.00      0  51        0         0
#> 73.1  24.00      0  NA        0         1
#> 80.1  24.00      0  41        0         0
#> 137.1 24.00      0  45        1         0
#> 112   24.00      0  61        0         0
#> 33    24.00      0  53        0         0
#> 122   24.00      0  66        0         0
#> 185.1 24.00      0  44        1         0
#> 118   24.00      0  44        1         0
#> 34    24.00      0  36        0         0
#> 200   24.00      0  64        0         0
#> 3.1   24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 109.1 24.00      0  48        0         0
#> 54    24.00      0  53        1         0
#> 11    24.00      0  42        0         1
#> 138   24.00      0  44        1         0
#> 28.1  24.00      0  67        1         0
#> 62    24.00      0  71        0         0
#> 72.3  24.00      0  40        0         1
#> 147   24.00      0  76        1         0
#> 147.1 24.00      0  76        1         0
#> 112.1 24.00      0  61        0         0
#> 20    24.00      0  46        1         0
#> 152   24.00      0  36        0         1
#> 151   24.00      0  42        0         0
#> 162.1 24.00      0  51        0         0
#> 64    24.00      0  43        0         0
#> 35.2  24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 102   24.00      0  49        0         0
#> 119.1 24.00      0  17        0         0
#> 132   24.00      0  55        0         0
#> 48    24.00      0  31        1         0
#> 84    24.00      0  39        0         1
#> 38    24.00      0  31        1         0
#> 103   24.00      0  56        1         0
#> 119.2 24.00      0  17        0         0
#> 11.1  24.00      0  42        0         1
#> 132.1 24.00      0  55        0         0
#> 94    24.00      0  51        0         1
#> 112.2 24.00      0  61        0         0
#> 131   24.00      0  66        0         0
#> 172   24.00      0  41        0         0
#> 173   24.00      0  19        0         1
#> 172.1 24.00      0  41        0         0
#> 160   24.00      0  31        1         0
#> 73.2  24.00      0  NA        0         1
#> 112.3 24.00      0  61        0         0
#> 151.1 24.00      0  42        0         0
#> 193   24.00      0  45        0         1
#> 62.1  24.00      0  71        0         0
#> 148   24.00      0  61        1         0
#> 138.1 24.00      0  44        1         0
#> 46    24.00      0  71        0         0
#> 35.3  24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.31          NA        NA      NA
#> 2 age, Cure model           0.0154        NA        NA      NA
#> 3 grade_ii, Cure model      0.634         NA        NA      NA
#> 4 grade_iii, Cure model     1.71          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0143        NA        NA      NA
#> 2 grade_ii, Survival model    0.370         NA        NA      NA
#> 3 grade_iii, Survival model   0.381         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.31128           0.01543           0.63359           1.70543  
#> 
#> Degrees of Freedom: 182 Total (i.e. Null);  179 Residual
#> Null Deviance:	    252.8 
#> Residual Deviance: 229.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.31127820       0.01543184       0.63358882       1.70543340 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01428816       0.37016821       0.38099898 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.8247213769 0.9552685461 0.4518790698 0.2450433180 0.7114833416
#>   [6] 0.2352221070 0.7254257783 0.4766147634 0.0752074889 0.5386402164
#>  [11] 0.8247213769 0.6033809845 0.3486047523 0.0216546347 0.4397135362
#>  [16] 0.1713702368 0.7534565185 0.9849534337 0.5134790227 0.2066299167
#>  [21] 0.0306133132 0.3056998796 0.2851102959 0.0029612224 0.1713702368
#>  [26] 0.2748447166 0.9552685461 0.5641874041 0.3818430623 0.8247213769
#>  [31] 0.1887335032 0.4766147634 0.7254257783 0.0411381308 0.5901877475
#>  [36] 0.1465558536 0.0259419029 0.0948831687 0.5134790227 0.5641874041
#>  [41] 0.4159848591 0.0467336905 0.1154921368 0.6033809845 0.0140273386
#>  [46] 0.1887335032 0.0356974959 0.1229699110 0.9112372706 0.0815336504
#>  [51] 0.7958849807 0.2549895741 0.9112372706 0.6976151608 0.0881557176
#>  [56] 0.2066299167 0.6567740881 0.0948831687 0.0948831687 0.1384884543
#>  [61] 0.0691349953 0.0526196971 0.0526196971 0.0101705869 0.3818430623
#>  [66] 0.8966316105 0.0001846331 0.0010322001 0.7958849807 0.2549895741
#>  [71] 0.2851102959 0.3162941455 0.7534565185 0.0029612224 0.4766147634
#>  [76] 0.7534565185 0.0029612224 0.0140273386 0.1630396860 0.6567740881
#>  [81] 0.4159848591 0.3269747907 0.8678762101 0.8678762101 0.6298341394
#>  [86] 0.2254763057 0.3818430623 0.0526196971 0.6839259231 0.3269747907
#>  [91] 0.3596406866 0.3596406866 0.6432675524 0.1547051609 0.9112372706
#>  [96] 0.4518790698 0.1306445949 0.5386402164 0.0000000000 0.0000000000
#> [101] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>    61    25   133   130    42   171    43    96   150    13  61.1   155    39 
#> 10.12  6.32 14.65 16.47 12.43 16.57 12.10 14.54 20.33 14.34 10.12 13.08 15.59 
#>    63   180    30   107   127    57    23    66    79     5   164  30.1    85 
#> 22.77 14.82 17.43 11.18  3.53 14.46 16.92 22.13 16.23 16.43 23.60 17.43 16.44 
#>  25.1    81    29  61.2    45  96.1  43.1   136    60    41    15    55  57.1 
#>  6.32 14.06 15.45 10.12 17.42 14.54 12.10 21.83 13.15 18.02 22.68 19.34 14.46 
#>  81.1   157   139    76 155.1    92  45.1   175    97    77   105   159   181 
#> 14.06 15.10 21.49 19.22 13.08 22.92 17.42 21.91 19.14  7.27 19.75 10.55 16.46 
#>  77.1   177   170  23.1   140    58  55.1    88   128    32  32.1   129  29.1 
#>  7.27 12.53 19.54 16.92 12.68 19.34 19.34 18.37 20.35 20.90 20.90 23.41 15.45 
#>    16    24   168 159.1 181.1   5.1   188 107.1 164.1  96.2 107.2 164.2  92.1 
#>  8.71 23.89 23.72 10.55 16.46 16.43 16.16 11.18 23.60 14.54 11.18 23.60 22.92 
#>   117 140.1 157.1   125   101 101.1   123   106  29.2  32.2   154 125.1   167 
#> 17.46 12.68 15.10 15.65  9.97  9.97 13.00 16.67 15.45 20.90 12.63 15.65 15.55 
#> 167.1    14   110  77.2 133.1     8  13.1   119    71    72   116    27    22 
#> 15.55 12.89 17.56  7.27 14.65 18.43 14.34 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137    31    35     1    80  31.1   196  35.1  72.1   185  72.2  22.1    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   163   143    21     2   2.1   109     3    28    82   162   191   142  71.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  80.1 137.1   112    33   122 185.1   118    34   200   3.1   161 109.1    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    11   138  28.1    62  72.3   147 147.1 112.1    20   152   151 162.1    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  35.2    44   102 119.1   132    48    84    38   103 119.2  11.1 132.1    94 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 112.2   131   172   173 172.1   160 112.3 151.1   193  62.1   148 138.1    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  35.3 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[41]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.02106556                1.02240135                0.29640656 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.247661082             0.002891102            -0.059099616 
#>   grade_iii, Cure model 
#>             1.045513999 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 24    23.89      1  38        0         0
#> 69    23.23      1  25        0         1
#> 188   16.16      1  46        0         1
#> 16     8.71      1  71        0         1
#> 124    9.73      1  NA        1         0
#> 70     7.38      1  30        1         0
#> 16.1   8.71      1  71        0         1
#> 85    16.44      1  36        0         0
#> 107   11.18      1  54        1         0
#> 56    12.21      1  60        0         0
#> 36    21.19      1  48        0         1
#> 124.1  9.73      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 101    9.97      1  10        0         1
#> 55    19.34      1  69        0         1
#> 106   16.67      1  49        1         0
#> 18    15.21      1  49        1         0
#> 5     16.43      1  51        0         1
#> 70.1   7.38      1  30        1         0
#> 13    14.34      1  54        0         1
#> 167.1 15.55      1  56        1         0
#> 166   19.98      1  48        0         0
#> 100   16.07      1  60        0         0
#> 91     5.33      1  61        0         1
#> 26    15.77      1  49        0         1
#> 169   22.41      1  46        0         0
#> 10    10.53      1  34        0         0
#> 30    17.43      1  78        0         0
#> 136   21.83      1  43        0         1
#> 81    14.06      1  34        0         0
#> 15    22.68      1  48        0         0
#> 69.1  23.23      1  25        0         1
#> 111   17.45      1  47        0         1
#> 24.1  23.89      1  38        0         0
#> 37    12.52      1  57        1         0
#> 192   16.44      1  31        1         0
#> 125   15.65      1  67        1         0
#> 194   22.40      1  38        0         1
#> 166.1 19.98      1  48        0         0
#> 55.1  19.34      1  69        0         1
#> 79    16.23      1  54        1         0
#> 30.1  17.43      1  78        0         0
#> 16.2   8.71      1  71        0         1
#> 194.1 22.40      1  38        0         1
#> 57    14.46      1  45        0         1
#> 89    11.44      1  NA        0         0
#> 43    12.10      1  61        0         1
#> 96    14.54      1  33        0         1
#> 167.2 15.55      1  56        1         0
#> 52    10.42      1  52        0         1
#> 81.1  14.06      1  34        0         0
#> 23    16.92      1  61        0         0
#> 177   12.53      1  75        0         0
#> 188.1 16.16      1  46        0         1
#> 194.2 22.40      1  38        0         1
#> 128   20.35      1  35        0         1
#> 68    20.62      1  44        0         0
#> 60    13.15      1  38        1         0
#> 108   18.29      1  39        0         1
#> 6     15.64      1  39        0         0
#> 30.2  17.43      1  78        0         0
#> 113   22.86      1  34        0         0
#> 10.1  10.53      1  34        0         0
#> 66    22.13      1  53        0         0
#> 15.1  22.68      1  48        0         0
#> 181   16.46      1  45        0         1
#> 97    19.14      1  65        0         1
#> 70.2   7.38      1  30        1         0
#> 23.1  16.92      1  61        0         0
#> 106.1 16.67      1  49        1         0
#> 58    19.34      1  39        0         0
#> 78    23.88      1  43        0         0
#> 91.1   5.33      1  61        0         1
#> 149    8.37      1  33        1         0
#> 86    23.81      1  58        0         1
#> 199   19.81      1  NA        0         1
#> 128.1 20.35      1  35        0         1
#> 159   10.55      1  50        0         1
#> 90    20.94      1  50        0         1
#> 4     17.64      1  NA        0         1
#> 128.2 20.35      1  35        0         1
#> 23.2  16.92      1  61        0         0
#> 26.1  15.77      1  49        0         1
#> 37.1  12.52      1  57        1         0
#> 42    12.43      1  49        0         1
#> 63    22.77      1  31        1         0
#> 108.1 18.29      1  39        0         1
#> 37.2  12.52      1  57        1         0
#> 199.1 19.81      1  NA        0         1
#> 187    9.92      1  39        1         0
#> 61    10.12      1  36        0         1
#> 14    12.89      1  21        0         0
#> 90.1  20.94      1  50        0         1
#> 108.2 18.29      1  39        0         1
#> 57.1  14.46      1  45        0         1
#> 63.1  22.77      1  31        1         0
#> 90.2  20.94      1  50        0         1
#> 76    19.22      1  54        0         1
#> 81.2  14.06      1  34        0         0
#> 70.3   7.38      1  30        1         0
#> 97.1  19.14      1  65        0         1
#> 91.2   5.33      1  61        0         1
#> 43.1  12.10      1  61        0         1
#> 155   13.08      1  26        0         0
#> 149.1  8.37      1  33        1         0
#> 107.1 11.18      1  54        1         0
#> 59    10.16      1  NA        1         0
#> 145   10.07      1  65        1         0
#> 56.1  12.21      1  60        0         0
#> 88    18.37      1  47        0         0
#> 40    18.00      1  28        1         0
#> 155.1 13.08      1  26        0         0
#> 48    24.00      0  31        1         0
#> 64    24.00      0  43        0         0
#> 142   24.00      0  53        0         0
#> 9     24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 95    24.00      0  68        0         1
#> 12    24.00      0  63        0         0
#> 34    24.00      0  36        0         0
#> 64.1  24.00      0  43        0         0
#> 82    24.00      0  34        0         0
#> 122   24.00      0  66        0         0
#> 186   24.00      0  45        1         0
#> 185   24.00      0  44        1         0
#> 160   24.00      0  31        1         0
#> 141   24.00      0  44        1         0
#> 118   24.00      0  44        1         0
#> 126   24.00      0  48        0         0
#> 162   24.00      0  51        0         0
#> 28    24.00      0  67        1         0
#> 146   24.00      0  63        1         0
#> 1     24.00      0  23        1         0
#> 178   24.00      0  52        1         0
#> 80    24.00      0  41        0         0
#> 178.1 24.00      0  52        1         0
#> 121   24.00      0  57        1         0
#> 20    24.00      0  46        1         0
#> 191   24.00      0  60        0         1
#> 46.1  24.00      0  71        0         0
#> 11    24.00      0  42        0         1
#> 28.1  24.00      0  67        1         0
#> 182   24.00      0  35        0         0
#> 151   24.00      0  42        0         0
#> 3     24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 67    24.00      0  25        0         0
#> 120.1 24.00      0  68        0         1
#> 21    24.00      0  47        0         0
#> 119   24.00      0  17        0         0
#> 67.1  24.00      0  25        0         0
#> 138   24.00      0  44        1         0
#> 152   24.00      0  36        0         1
#> 162.1 24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 38    24.00      0  31        1         0
#> 115   24.00      0  NA        1         0
#> 193   24.00      0  45        0         1
#> 143   24.00      0  51        0         0
#> 161   24.00      0  45        0         0
#> 148   24.00      0  61        1         0
#> 34.1  24.00      0  36        0         0
#> 72    24.00      0  40        0         1
#> 17    24.00      0  38        0         1
#> 104   24.00      0  50        1         0
#> 3.1   24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 44.1  24.00      0  56        0         0
#> 19    24.00      0  57        0         1
#> 186.1 24.00      0  45        1         0
#> 44.2  24.00      0  56        0         0
#> 82.1  24.00      0  34        0         0
#> 160.1 24.00      0  31        1         0
#> 65    24.00      0  57        1         0
#> 193.1 24.00      0  45        0         1
#> 147   24.00      0  76        1         0
#> 132   24.00      0  55        0         0
#> 138.1 24.00      0  44        1         0
#> 146.1 24.00      0  63        1         0
#> 84    24.00      0  39        0         1
#> 82.2  24.00      0  34        0         0
#> 116   24.00      0  58        0         1
#> 83    24.00      0   6        0         0
#> 160.2 24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 33    24.00      0  53        0         0
#> 53    24.00      0  32        0         1
#> 11.1  24.00      0  42        0         1
#> 118.1 24.00      0  44        1         0
#> 116.1 24.00      0  58        0         1
#> 193.2 24.00      0  45        0         1
#> 196   24.00      0  19        0         0
#> 182.1 24.00      0  35        0         0
#> 11.2  24.00      0  42        0         1
#> 109   24.00      0  48        0         0
#> 143.1 24.00      0  51        0         0
#> 98    24.00      0  34        1         0
#> 73    24.00      0  NA        0         1
#> 131   24.00      0  66        0         0
#> 21.1  24.00      0  47        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.248          NA        NA      NA
#> 2 age, Cure model          0.00289        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0591         NA        NA      NA
#> 4 grade_iii, Cure model    1.05           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0211        NA        NA      NA
#> 2 grade_ii, Survival model    1.02          NA        NA      NA
#> 3 grade_iii, Survival model   0.296         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.247661          0.002891         -0.059100          1.045514  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 251.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.247661082      0.002891102     -0.059099616      1.045513999 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.02106556       1.02240135       0.29640656 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.2000300 0.3950277 0.8461692 0.9732317 0.9847990 0.9732317 0.8285384
#>   [8] 0.9479577 0.9370226 0.6132377 0.8740812 0.9683484 0.7043923 0.8145481
#>  [15] 0.8843217 0.8374970 0.9847990 0.8974813 0.8740812 0.6878188 0.8544379
#>  [22] 0.9935752 0.8585319 0.5373918 0.9557107 0.7833831 0.6016180 0.9007015
#>  [29] 0.5069294 0.3950277 0.7775176 0.2000300 0.9257349 0.8285384 0.8664901
#>  [36] 0.5521512 0.6878188 0.7043923 0.8419187 0.7833831 0.9732317 0.5521512
#>  [43] 0.8909780 0.9425514 0.8876604 0.8740812 0.9608218 0.9007015 0.7993625
#>  [50] 0.9226685 0.8461692 0.5521512 0.6620290 0.6526475 0.9102213 0.7531534
#>  [57] 0.8702962 0.7833831 0.4474642 0.9557107 0.5894513 0.5069294 0.8239095
#>  [64] 0.7334963 0.9847990 0.7993625 0.8145481 0.7043923 0.3134298 0.9935752
#>  [71] 0.9802285 0.3621047 0.6620290 0.9531374 0.6242924 0.6620290 0.7993625
#>  [78] 0.8585319 0.9257349 0.9342120 0.4728920 0.7531534 0.9257349 0.9708064
#>  [85] 0.9633603 0.9195623 0.6242924 0.7531534 0.8909780 0.4728920 0.6242924
#>  [92] 0.7263386 0.9007015 0.9847990 0.7334963 0.9935752 0.9425514 0.9133489
#>  [99] 0.9802285 0.9479577 0.9658863 0.9370226 0.7466464 0.7715338 0.9133489
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [190] 0.0000000 0.0000000
#> 
#> $Time
#>    24    69   188    16    70  16.1    85   107    56    36   167   101    55 
#> 23.89 23.23 16.16  8.71  7.38  8.71 16.44 11.18 12.21 21.19 15.55  9.97 19.34 
#>   106    18     5  70.1    13 167.1   166   100    91    26   169    10    30 
#> 16.67 15.21 16.43  7.38 14.34 15.55 19.98 16.07  5.33 15.77 22.41 10.53 17.43 
#>   136    81    15  69.1   111  24.1    37   192   125   194 166.1  55.1    79 
#> 21.83 14.06 22.68 23.23 17.45 23.89 12.52 16.44 15.65 22.40 19.98 19.34 16.23 
#>  30.1  16.2 194.1    57    43    96 167.2    52  81.1    23   177 188.1 194.2 
#> 17.43  8.71 22.40 14.46 12.10 14.54 15.55 10.42 14.06 16.92 12.53 16.16 22.40 
#>   128    68    60   108     6  30.2   113  10.1    66  15.1   181    97  70.2 
#> 20.35 20.62 13.15 18.29 15.64 17.43 22.86 10.53 22.13 22.68 16.46 19.14  7.38 
#>  23.1 106.1    58    78  91.1   149    86 128.1   159    90 128.2  23.2  26.1 
#> 16.92 16.67 19.34 23.88  5.33  8.37 23.81 20.35 10.55 20.94 20.35 16.92 15.77 
#>  37.1    42    63 108.1  37.2   187    61    14  90.1 108.2  57.1  63.1  90.2 
#> 12.52 12.43 22.77 18.29 12.52  9.92 10.12 12.89 20.94 18.29 14.46 22.77 20.94 
#>    76  81.2  70.3  97.1  91.2  43.1   155 149.1 107.1   145  56.1    88    40 
#> 19.22 14.06  7.38 19.14  5.33 12.10 13.08  8.37 11.18 10.07 12.21 18.37 18.00 
#> 155.1    48    64   142     9    46    95    12    34  64.1    82   122   186 
#> 13.08 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185   160   141   118   126   162    28   146     1   178    80 178.1   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20   191  46.1    11  28.1   182   151     3   120    67 120.1    21   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  67.1   138   152 162.1    44    38   193   143   161   148  34.1    72    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104   3.1    71  44.1    19 186.1  44.2  82.1 160.1    65 193.1   147   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 138.1 146.1    84  82.2   116    83 160.2   137    33    53  11.1 118.1 116.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 193.2   196 182.1  11.2   109 143.1    98   131  21.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[42]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01553253                0.62362335                0.40264514 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.36491695              0.02484497              0.14280906 
#>   grade_iii, Cure model 
#>              1.16536534 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 63    22.77      1  31        1         0
#> 101    9.97      1  10        0         1
#> 106   16.67      1  49        1         0
#> 18    15.21      1  49        1         0
#> 89    11.44      1  NA        0         0
#> 88    18.37      1  47        0         0
#> 55    19.34      1  69        0         1
#> 13    14.34      1  54        0         1
#> 32    20.90      1  37        1         0
#> 66    22.13      1  53        0         0
#> 97    19.14      1  65        0         1
#> 29    15.45      1  68        1         0
#> 6     15.64      1  39        0         0
#> 199   19.81      1  NA        0         1
#> 171   16.57      1  41        0         1
#> 92    22.92      1  47        0         1
#> 43    12.10      1  61        0         1
#> 159   10.55      1  50        0         1
#> 90    20.94      1  50        0         1
#> 58    19.34      1  39        0         0
#> 195   11.76      1  NA        1         0
#> 49    12.19      1  48        1         0
#> 77     7.27      1  67        0         1
#> 197   21.60      1  69        1         0
#> 49.1  12.19      1  48        1         0
#> 154   12.63      1  20        1         0
#> 49.2  12.19      1  48        1         0
#> 10    10.53      1  34        0         0
#> 60    13.15      1  38        1         0
#> 184   17.77      1  38        0         0
#> 158   20.14      1  74        1         0
#> 13.1  14.34      1  54        0         1
#> 18.1  15.21      1  49        1         0
#> 175   21.91      1  43        0         0
#> 41    18.02      1  40        1         0
#> 168   23.72      1  70        0         0
#> 181   16.46      1  45        0         1
#> 164   23.60      1  76        0         1
#> 168.1 23.72      1  70        0         0
#> 192   16.44      1  31        1         0
#> 139   21.49      1  63        1         0
#> 130   16.47      1  53        0         1
#> 10.1  10.53      1  34        0         0
#> 52    10.42      1  52        0         1
#> 55.1  19.34      1  69        0         1
#> 157   15.10      1  47        0         0
#> 51    18.23      1  83        0         1
#> 8     18.43      1  32        0         0
#> 117   17.46      1  26        0         1
#> 157.1 15.10      1  47        0         0
#> 195.1 11.76      1  NA        1         0
#> 8.1   18.43      1  32        0         0
#> 59    10.16      1  NA        1         0
#> 168.2 23.72      1  70        0         0
#> 181.1 16.46      1  45        0         1
#> 51.1  18.23      1  83        0         1
#> 171.1 16.57      1  41        0         1
#> 130.1 16.47      1  53        0         1
#> 171.2 16.57      1  41        0         1
#> 107   11.18      1  54        1         0
#> 63.1  22.77      1  31        1         0
#> 159.1 10.55      1  50        0         1
#> 133   14.65      1  57        0         0
#> 29.1  15.45      1  68        1         0
#> 14    12.89      1  21        0         0
#> 133.1 14.65      1  57        0         0
#> 78    23.88      1  43        0         0
#> 194   22.40      1  38        0         1
#> 179   18.63      1  42        0         0
#> 128   20.35      1  35        0         1
#> 107.1 11.18      1  54        1         0
#> 18.2  15.21      1  49        1         0
#> 167   15.55      1  56        1         0
#> 107.2 11.18      1  54        1         0
#> 18.3  15.21      1  49        1         0
#> 179.1 18.63      1  42        0         0
#> 164.1 23.60      1  76        0         1
#> 25     6.32      1  34        1         0
#> 110   17.56      1  65        0         1
#> 105   19.75      1  60        0         0
#> 23    16.92      1  61        0         0
#> 111   17.45      1  47        0         1
#> 88.1  18.37      1  47        0         0
#> 187    9.92      1  39        1         0
#> 88.2  18.37      1  47        0         0
#> 128.1 20.35      1  35        0         1
#> 199.1 19.81      1  NA        0         1
#> 159.2 10.55      1  50        0         1
#> 6.1   15.64      1  39        0         0
#> 128.2 20.35      1  35        0         1
#> 108   18.29      1  39        0         1
#> 56    12.21      1  60        0         0
#> 108.1 18.29      1  39        0         1
#> 155   13.08      1  26        0         0
#> 29.2  15.45      1  68        1         0
#> 130.2 16.47      1  53        0         1
#> 150   20.33      1  48        0         0
#> 189   10.51      1  NA        1         0
#> 97.1  19.14      1  65        0         1
#> 76    19.22      1  54        0         1
#> 26    15.77      1  49        0         1
#> 168.3 23.72      1  70        0         0
#> 181.2 16.46      1  45        0         1
#> 125   15.65      1  67        1         0
#> 159.3 10.55      1  50        0         1
#> 45    17.42      1  54        0         1
#> 52.1  10.42      1  52        0         1
#> 180   14.82      1  37        0         0
#> 99    21.19      1  38        0         1
#> 70     7.38      1  30        1         0
#> 59.1  10.16      1  NA        1         0
#> 153   21.33      1  55        1         0
#> 64    24.00      0  43        0         0
#> 126   24.00      0  48        0         0
#> 34    24.00      0  36        0         0
#> 162   24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 71    24.00      0  51        0         0
#> 191   24.00      0  60        0         1
#> 98    24.00      0  34        1         0
#> 156   24.00      0  50        1         0
#> 44    24.00      0  56        0         0
#> 173   24.00      0  19        0         1
#> 33    24.00      0  53        0         0
#> 21.1  24.00      0  47        0         0
#> 64.1  24.00      0  43        0         0
#> 98.1  24.00      0  34        1         0
#> 80    24.00      0  41        0         0
#> 22    24.00      0  52        1         0
#> 160   24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 27    24.00      0  63        1         0
#> 163   24.00      0  66        0         0
#> 120   24.00      0  68        0         1
#> 186   24.00      0  45        1         0
#> 143   24.00      0  51        0         0
#> 35    24.00      0  51        0         0
#> 121   24.00      0  57        1         0
#> 141   24.00      0  44        1         0
#> 116   24.00      0  58        0         1
#> 148   24.00      0  61        1         0
#> 141.1 24.00      0  44        1         0
#> 33.1  24.00      0  53        0         0
#> 142   24.00      0  53        0         0
#> 34.1  24.00      0  36        0         0
#> 152   24.00      0  36        0         1
#> 20    24.00      0  46        1         0
#> 83    24.00      0   6        0         0
#> 48    24.00      0  31        1         0
#> 44.1  24.00      0  56        0         0
#> 138.1 24.00      0  44        1         0
#> 80.1  24.00      0  41        0         0
#> 165   24.00      0  47        0         0
#> 46    24.00      0  71        0         0
#> 172   24.00      0  41        0         0
#> 22.1  24.00      0  52        1         0
#> 118   24.00      0  44        1         0
#> 35.1  24.00      0  51        0         0
#> 152.1 24.00      0  36        0         1
#> 178   24.00      0  52        1         0
#> 71.1  24.00      0  51        0         0
#> 126.1 24.00      0  48        0         0
#> 185   24.00      0  44        1         0
#> 126.2 24.00      0  48        0         0
#> 74    24.00      0  43        0         1
#> 17    24.00      0  38        0         1
#> 98.2  24.00      0  34        1         0
#> 1     24.00      0  23        1         0
#> 191.1 24.00      0  60        0         1
#> 46.1  24.00      0  71        0         0
#> 161   24.00      0  45        0         0
#> 75    24.00      0  21        1         0
#> 20.1  24.00      0  46        1         0
#> 75.1  24.00      0  21        1         0
#> 62    24.00      0  71        0         0
#> 17.1  24.00      0  38        0         1
#> 151   24.00      0  42        0         0
#> 104   24.00      0  50        1         0
#> 104.1 24.00      0  50        1         0
#> 73    24.00      0  NA        0         1
#> 141.2 24.00      0  44        1         0
#> 141.3 24.00      0  44        1         0
#> 67    24.00      0  25        0         0
#> 172.1 24.00      0  41        0         0
#> 9     24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 38    24.00      0  31        1         0
#> 48.1  24.00      0  31        1         0
#> 98.3  24.00      0  34        1         0
#> 152.2 24.00      0  36        0         1
#> 104.2 24.00      0  50        1         0
#> 71.2  24.00      0  51        0         0
#> 144   24.00      0  28        0         1
#> 143.1 24.00      0  51        0         0
#> 53    24.00      0  32        0         1
#> 142.1 24.00      0  53        0         0
#> 71.3  24.00      0  51        0         0
#> 115   24.00      0  NA        1         0
#> 19    24.00      0  57        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.36          NA        NA      NA
#> 2 age, Cure model           0.0248        NA        NA      NA
#> 3 grade_ii, Cure model      0.143         NA        NA      NA
#> 4 grade_iii, Cure model     1.17          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0155        NA        NA      NA
#> 2 grade_ii, Survival model    0.624         NA        NA      NA
#> 3 grade_iii, Survival model   0.403         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.36492           0.02484           0.14281           1.16537  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 245.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.36491695       0.02484497       0.14280906       1.16536534 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01553253       0.62362335       0.40264514 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.0197631462 0.9309588862 0.3251557127 0.5341997433 0.1914969812
#>   [6] 0.1148979918 0.6423265773 0.0716905798 0.0324265816 0.1433484373
#>  [11] 0.4993365185 0.4648981754 0.3356278311 0.0148526834 0.7708547343
#>  [16] 0.8232754487 0.0655869242 0.1148979918 0.7322705379 0.9723127638
#>  [21] 0.0426120715 0.7322705379 0.7063840446 0.7322705379 0.8762237514
#>  [26] 0.6677205475 0.2645503342 0.1015178483 0.6423265773 0.5341997433
#>  [31] 0.0373500754 0.2548688893 0.0008434730 0.3986292578 0.0072339704
#>  [36] 0.0008434730 0.4312672455 0.0481203140 0.3666635199 0.8762237514
#>  [41] 0.9034532463 0.1148979918 0.5806868960 0.2358721989 0.1747964862
#>  [46] 0.2843977166 0.5806868960 0.1747964862 0.0008434730 0.3986292578
#>  [51] 0.2358721989 0.3356278311 0.3666635199 0.3356278311 0.7840308286
#>  [56] 0.0197631462 0.8232754487 0.6172826432 0.4993365185 0.6934246189
#>  [61] 0.6172826432 0.0001199881 0.0278900352 0.1586990651 0.0777686191
#>  [66] 0.7840308286 0.5341997433 0.4877258760 0.7840308286 0.5341997433
#>  [71] 0.1586990651 0.0072339704 0.9861661190 0.2743923703 0.1080824209
#>  [76] 0.3147267599 0.2944035216 0.1914969812 0.9447571997 0.1914969812
#>  [81] 0.0777686191 0.8232754487 0.4648981754 0.0777686191 0.2177346419
#>  [86] 0.7192566929 0.2177346419 0.6805322599 0.4993365185 0.3666635199
#>  [91] 0.0951224638 0.1433484373 0.1358330894 0.4423892211 0.0008434730
#>  [96] 0.3986292578 0.4535960813 0.8232754487 0.3045052040 0.9034532463
#> [101] 0.6049285652 0.0596557547 0.9585518874 0.0538241479 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>    63   101   106    18    88    55    13    32    66    97    29     6   171 
#> 22.77  9.97 16.67 15.21 18.37 19.34 14.34 20.90 22.13 19.14 15.45 15.64 16.57 
#>    92    43   159    90    58    49    77   197  49.1   154  49.2    10    60 
#> 22.92 12.10 10.55 20.94 19.34 12.19  7.27 21.60 12.19 12.63 12.19 10.53 13.15 
#>   184   158  13.1  18.1   175    41   168   181   164 168.1   192   139   130 
#> 17.77 20.14 14.34 15.21 21.91 18.02 23.72 16.46 23.60 23.72 16.44 21.49 16.47 
#>  10.1    52  55.1   157    51     8   117 157.1   8.1 168.2 181.1  51.1 171.1 
#> 10.53 10.42 19.34 15.10 18.23 18.43 17.46 15.10 18.43 23.72 16.46 18.23 16.57 
#> 130.1 171.2   107  63.1 159.1   133  29.1    14 133.1    78   194   179   128 
#> 16.47 16.57 11.18 22.77 10.55 14.65 15.45 12.89 14.65 23.88 22.40 18.63 20.35 
#> 107.1  18.2   167 107.2  18.3 179.1 164.1    25   110   105    23   111  88.1 
#> 11.18 15.21 15.55 11.18 15.21 18.63 23.60  6.32 17.56 19.75 16.92 17.45 18.37 
#>   187  88.2 128.1 159.2   6.1 128.2   108    56 108.1   155  29.2 130.2   150 
#>  9.92 18.37 20.35 10.55 15.64 20.35 18.29 12.21 18.29 13.08 15.45 16.47 20.33 
#>  97.1    76    26 168.3 181.2   125 159.3    45  52.1   180    99    70   153 
#> 19.14 19.22 15.77 23.72 16.46 15.65 10.55 17.42 10.42 14.82 21.19  7.38 21.33 
#>    64   126    34   162    21    71   191    98   156    44   173    33  21.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  64.1  98.1    80    22   160   138    84    27   163   120   186   143    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121   141   116   148 141.1  33.1   142  34.1   152    20    83    48  44.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 138.1  80.1   165    46   172  22.1   118  35.1 152.1   178  71.1 126.1   185 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 126.2    74    17  98.2     1 191.1  46.1   161    75  20.1  75.1    62  17.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   151   104 104.1 141.2 141.3    67 172.1     9    72    38  48.1  98.3 152.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 104.2  71.2   144 143.1    53 142.1  71.3    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[43]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004252812               0.445050707              -0.152410331 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.070919740            -0.002466882             0.006909987 
#>   grade_iii, Cure model 
#>             1.145854665 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 157   15.10      1  47        0         0
#> 26    15.77      1  49        0         1
#> 166   19.98      1  48        0         0
#> 57    14.46      1  45        0         1
#> 10    10.53      1  34        0         0
#> 59    10.16      1  NA        1         0
#> 43    12.10      1  61        0         1
#> 55    19.34      1  69        0         1
#> 49    12.19      1  48        1         0
#> 41    18.02      1  40        1         0
#> 184   17.77      1  38        0         0
#> 42    12.43      1  49        0         1
#> 101    9.97      1  10        0         1
#> 60    13.15      1  38        1         0
#> 40    18.00      1  28        1         0
#> 23    16.92      1  61        0         0
#> 183    9.24      1  67        1         0
#> 150   20.33      1  48        0         0
#> 56    12.21      1  60        0         0
#> 25     6.32      1  34        1         0
#> 6     15.64      1  39        0         0
#> 58    19.34      1  39        0         0
#> 107   11.18      1  54        1         0
#> 99    21.19      1  38        0         1
#> 125   15.65      1  67        1         0
#> 194   22.40      1  38        0         1
#> 81    14.06      1  34        0         0
#> 111   17.45      1  47        0         1
#> 150.1 20.33      1  48        0         0
#> 37    12.52      1  57        1         0
#> 106   16.67      1  49        1         0
#> 36    21.19      1  48        0         1
#> 181   16.46      1  45        0         1
#> 187    9.92      1  39        1         0
#> 171   16.57      1  41        0         1
#> 68    20.62      1  44        0         0
#> 79    16.23      1  54        1         0
#> 5     16.43      1  51        0         1
#> 37.1  12.52      1  57        1         0
#> 101.1  9.97      1  10        0         1
#> 23.1  16.92      1  61        0         0
#> 76    19.22      1  54        0         1
#> 4     17.64      1  NA        0         1
#> 69    23.23      1  25        0         1
#> 52    10.42      1  52        0         1
#> 170   19.54      1  43        0         1
#> 10.1  10.53      1  34        0         0
#> 149    8.37      1  33        1         0
#> 188   16.16      1  46        0         1
#> 69.1  23.23      1  25        0         1
#> 25.1   6.32      1  34        1         0
#> 188.1 16.16      1  46        0         1
#> 90    20.94      1  50        0         1
#> 49.1  12.19      1  48        1         0
#> 70     7.38      1  30        1         0
#> 18    15.21      1  49        1         0
#> 181.1 16.46      1  45        0         1
#> 88    18.37      1  47        0         0
#> 93    10.33      1  52        0         1
#> 63    22.77      1  31        1         0
#> 78    23.88      1  43        0         0
#> 69.2  23.23      1  25        0         1
#> 51    18.23      1  83        0         1
#> 85    16.44      1  36        0         0
#> 52.1  10.42      1  52        0         1
#> 139   21.49      1  63        1         0
#> 164   23.60      1  76        0         1
#> 90.1  20.94      1  50        0         1
#> 13    14.34      1  54        0         1
#> 136   21.83      1  43        0         1
#> 30    17.43      1  78        0         0
#> 155   13.08      1  26        0         0
#> 5.1   16.43      1  51        0         1
#> 56.1  12.21      1  60        0         0
#> 136.1 21.83      1  43        0         1
#> 23.2  16.92      1  61        0         0
#> 25.2   6.32      1  34        1         0
#> 96    14.54      1  33        0         1
#> 5.2   16.43      1  51        0         1
#> 134   17.81      1  47        1         0
#> 170.1 19.54      1  43        0         1
#> 86    23.81      1  58        0         1
#> 100   16.07      1  60        0         0
#> 181.2 16.46      1  45        0         1
#> 42.1  12.43      1  49        0         1
#> 105   19.75      1  60        0         0
#> 111.1 17.45      1  47        0         1
#> 101.2  9.97      1  10        0         1
#> 153   21.33      1  55        1         0
#> 187.1  9.92      1  39        1         0
#> 128   20.35      1  35        0         1
#> 105.1 19.75      1  60        0         0
#> 59.1  10.16      1  NA        1         0
#> 188.2 16.16      1  46        0         1
#> 81.1  14.06      1  34        0         0
#> 93.1  10.33      1  52        0         1
#> 92    22.92      1  47        0         1
#> 93.2  10.33      1  52        0         1
#> 159   10.55      1  50        0         1
#> 149.1  8.37      1  33        1         0
#> 32    20.90      1  37        1         0
#> 101.3  9.97      1  10        0         1
#> 51.1  18.23      1  83        0         1
#> 36.1  21.19      1  48        0         1
#> 177   12.53      1  75        0         0
#> 61    10.12      1  36        0         1
#> 157.1 15.10      1  47        0         0
#> 130   16.47      1  53        0         1
#> 130.1 16.47      1  53        0         1
#> 90.2  20.94      1  50        0         1
#> 52.2  10.42      1  52        0         1
#> 68.1  20.62      1  44        0         0
#> 80    24.00      0  41        0         0
#> 87    24.00      0  27        0         0
#> 94    24.00      0  51        0         1
#> 173   24.00      0  19        0         1
#> 112   24.00      0  61        0         0
#> 9     24.00      0  31        1         0
#> 9.1   24.00      0  31        1         0
#> 135   24.00      0  58        1         0
#> 178   24.00      0  52        1         0
#> 74    24.00      0  43        0         1
#> 73    24.00      0  NA        0         1
#> 62    24.00      0  71        0         0
#> 119   24.00      0  17        0         0
#> 20    24.00      0  46        1         0
#> 22    24.00      0  52        1         0
#> 2     24.00      0   9        0         0
#> 94.1  24.00      0  51        0         1
#> 27    24.00      0  63        1         0
#> 152   24.00      0  36        0         1
#> 31    24.00      0  36        0         1
#> 132   24.00      0  55        0         0
#> 131   24.00      0  66        0         0
#> 144   24.00      0  28        0         1
#> 54    24.00      0  53        1         0
#> 12    24.00      0  63        0         0
#> 48    24.00      0  31        1         0
#> 35    24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 116   24.00      0  58        0         1
#> 148   24.00      0  61        1         0
#> 82    24.00      0  34        0         0
#> 104   24.00      0  50        1         0
#> 165   24.00      0  47        0         0
#> 112.1 24.00      0  61        0         0
#> 95    24.00      0  68        0         1
#> 132.1 24.00      0  55        0         0
#> 121   24.00      0  57        1         0
#> 47    24.00      0  38        0         1
#> 132.2 24.00      0  55        0         0
#> 38    24.00      0  31        1         0
#> 3     24.00      0  31        1         0
#> 44    24.00      0  56        0         0
#> 148.1 24.00      0  61        1         0
#> 186   24.00      0  45        1         0
#> 7     24.00      0  37        1         0
#> 98    24.00      0  34        1         0
#> 174   24.00      0  49        1         0
#> 53    24.00      0  32        0         1
#> 62.1  24.00      0  71        0         0
#> 1     24.00      0  23        1         0
#> 198   24.00      0  66        0         1
#> 126   24.00      0  48        0         0
#> 38.1  24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 116.1 24.00      0  58        0         1
#> 120   24.00      0  68        0         1
#> 62.2  24.00      0  71        0         0
#> 11    24.00      0  42        0         1
#> 7.1   24.00      0  37        1         0
#> 141   24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 144.1 24.00      0  28        0         1
#> 46    24.00      0  71        0         0
#> 115   24.00      0  NA        1         0
#> 28    24.00      0  67        1         0
#> 54.1  24.00      0  53        1         0
#> 144.2 24.00      0  28        0         1
#> 178.1 24.00      0  52        1         0
#> 38.2  24.00      0  31        1         0
#> 137.1 24.00      0  45        1         0
#> 47.1  24.00      0  38        0         1
#> 142   24.00      0  53        0         0
#> 17    24.00      0  38        0         1
#> 46.1  24.00      0  71        0         0
#> 21    24.00      0  47        0         0
#> 53.1  24.00      0  32        0         1
#> 95.1  24.00      0  68        0         1
#> 131.1 24.00      0  66        0         0
#> 46.2  24.00      0  71        0         0
#> 165.1 24.00      0  47        0         0
#> 131.2 24.00      0  66        0         0
#> 87.1  24.00      0  27        0         0
#> 109   24.00      0  48        0         0
#> 119.1 24.00      0  17        0         0
#> 162   24.00      0  51        0         0
#> 131.3 24.00      0  66        0         0
#> 109.1 24.00      0  48        0         0
#> 27.1  24.00      0  63        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.0709         NA        NA      NA
#> 2 age, Cure model         -0.00247        NA        NA      NA
#> 3 grade_ii, Cure model     0.00691        NA        NA      NA
#> 4 grade_iii, Cure model    1.15           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00425        NA        NA      NA
#> 2 grade_ii, Survival model   0.445          NA        NA      NA
#> 3 grade_iii, Survival model -0.152          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.070920         -0.002467          0.006910          1.145855  
#> 
#> Degrees of Freedom: 194 Total (i.e. Null);  191 Residual
#> Null Deviance:	    267.6 
#> Residual Deviance: 253.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.070919740     -0.002466882      0.006909987      1.145854665 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004252812      0.445050707     -0.152410331 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.553270798 0.512888948 0.173741094 0.583520326 0.768633740 0.737510489
#>   [7] 0.215424651 0.716987556 0.268637614 0.295663253 0.675756717 0.862945889
#>  [13] 0.624507442 0.277747856 0.331770678 0.926669905 0.157723560 0.696303389
#>  [19] 0.969013376 0.533092576 0.215424651 0.747893466 0.082800385 0.523007698
#>  [25] 0.047292048 0.604026709 0.304622439 0.157723560 0.655397570 0.359071860
#>  [31] 0.082800385 0.396433324 0.905367347 0.368348738 0.134168353 0.463541725
#>  [37] 0.434492333 0.655397570 0.862945889 0.331770678 0.232677102 0.016995385
#>  [43] 0.789351835 0.198519691 0.768633740 0.937361650 0.473384005 0.016995385
#>  [49] 0.969013376 0.473384005 0.103870500 0.716987556 0.958452796 0.543206701
#>  [55] 0.396433324 0.241576261 0.820605294 0.040560167 0.001643436 0.016995385
#>  [61] 0.250535243 0.424790187 0.789351835 0.068375119 0.010616646 0.103870500
#>  [67] 0.593745404 0.054293814 0.322586667 0.634777533 0.434492333 0.696303389
#>  [73] 0.054293814 0.331770678 0.969013376 0.573347112 0.434492333 0.286744413
#>  [79] 0.198519691 0.005459999 0.502830307 0.396433324 0.675756717 0.182015672
#>  [85] 0.304622439 0.862945889 0.075668232 0.905367347 0.149656443 0.182015672
#>  [91] 0.473384005 0.604026709 0.820605294 0.033394908 0.820605294 0.758241914
#>  [97] 0.937361650 0.126346711 0.862945889 0.250535243 0.082800385 0.645065049
#> [103] 0.852234356 0.553270798 0.377691214 0.377691214 0.103870500 0.789351835
#> [109] 0.134168353 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   157    26   166    57    10    43    55    49    41   184    42   101    60 
#> 15.10 15.77 19.98 14.46 10.53 12.10 19.34 12.19 18.02 17.77 12.43  9.97 13.15 
#>    40    23   183   150    56    25     6    58   107    99   125   194    81 
#> 18.00 16.92  9.24 20.33 12.21  6.32 15.64 19.34 11.18 21.19 15.65 22.40 14.06 
#>   111 150.1    37   106    36   181   187   171    68    79     5  37.1 101.1 
#> 17.45 20.33 12.52 16.67 21.19 16.46  9.92 16.57 20.62 16.23 16.43 12.52  9.97 
#>  23.1    76    69    52   170  10.1   149   188  69.1  25.1 188.1    90  49.1 
#> 16.92 19.22 23.23 10.42 19.54 10.53  8.37 16.16 23.23  6.32 16.16 20.94 12.19 
#>    70    18 181.1    88    93    63    78  69.2    51    85  52.1   139   164 
#>  7.38 15.21 16.46 18.37 10.33 22.77 23.88 23.23 18.23 16.44 10.42 21.49 23.60 
#>  90.1    13   136    30   155   5.1  56.1 136.1  23.2  25.2    96   5.2   134 
#> 20.94 14.34 21.83 17.43 13.08 16.43 12.21 21.83 16.92  6.32 14.54 16.43 17.81 
#> 170.1    86   100 181.2  42.1   105 111.1 101.2   153 187.1   128 105.1 188.2 
#> 19.54 23.81 16.07 16.46 12.43 19.75 17.45  9.97 21.33  9.92 20.35 19.75 16.16 
#>  81.1  93.1    92  93.2   159 149.1    32 101.3  51.1  36.1   177    61 157.1 
#> 14.06 10.33 22.92 10.33 10.55  8.37 20.90  9.97 18.23 21.19 12.53 10.12 15.10 
#>   130 130.1  90.2  52.2  68.1    80    87    94   173   112     9   9.1   135 
#> 16.47 16.47 20.94 10.42 20.62 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178    74    62   119    20    22     2  94.1    27   152    31   132   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144    54    12    48    35   137   116   148    82   104   165 112.1    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.1   121    47 132.2    38     3    44 148.1   186     7    98   174    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  62.1     1   198   126  38.1    67 116.1   120  62.2    11   7.1   141    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 144.1    46    28  54.1 144.2 178.1  38.2 137.1  47.1   142    17  46.1    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  53.1  95.1 131.1  46.2 165.1 131.2  87.1   109 119.1   162 131.3 109.1  27.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[44]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.004997254               0.252611153               0.086505005 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -1.1964494               0.0273670              -0.4755007 
#>   grade_iii, Cure model 
#>               0.8487443 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 108   18.29      1  39        0         1
#> 42    12.43      1  49        0         1
#> 92    22.92      1  47        0         1
#> 106   16.67      1  49        1         0
#> 153   21.33      1  55        1         0
#> 195   11.76      1  NA        1         0
#> 105   19.75      1  60        0         0
#> 129   23.41      1  53        1         0
#> 66    22.13      1  53        0         0
#> 30    17.43      1  78        0         0
#> 8     18.43      1  32        0         0
#> 97    19.14      1  65        0         1
#> 99    21.19      1  38        0         1
#> 190   20.81      1  42        1         0
#> 37    12.52      1  57        1         0
#> 187    9.92      1  39        1         0
#> 30.1  17.43      1  78        0         0
#> 158   20.14      1  74        1         0
#> 99.1  21.19      1  38        0         1
#> 29    15.45      1  68        1         0
#> 133   14.65      1  57        0         0
#> 78    23.88      1  43        0         0
#> 108.1 18.29      1  39        0         1
#> 129.1 23.41      1  53        1         0
#> 81    14.06      1  34        0         0
#> 177   12.53      1  75        0         0
#> 79    16.23      1  54        1         0
#> 169   22.41      1  46        0         0
#> 106.1 16.67      1  49        1         0
#> 26    15.77      1  49        0         1
#> 117   17.46      1  26        0         1
#> 128   20.35      1  35        0         1
#> 42.1  12.43      1  49        0         1
#> 41    18.02      1  40        1         0
#> 184   17.77      1  38        0         0
#> 108.2 18.29      1  39        0         1
#> 81.1  14.06      1  34        0         0
#> 16     8.71      1  71        0         1
#> 179   18.63      1  42        0         0
#> 177.1 12.53      1  75        0         0
#> 145   10.07      1  65        1         0
#> 29.1  15.45      1  68        1         0
#> 69    23.23      1  25        0         1
#> 145.1 10.07      1  65        1         0
#> 10    10.53      1  34        0         0
#> 99.2  21.19      1  38        0         1
#> 68    20.62      1  44        0         0
#> 155   13.08      1  26        0         0
#> 197   21.60      1  69        1         0
#> 169.1 22.41      1  46        0         0
#> 133.1 14.65      1  57        0         0
#> 26.1  15.77      1  49        0         1
#> 166   19.98      1  48        0         0
#> 157   15.10      1  47        0         0
#> 78.1  23.88      1  43        0         0
#> 69.1  23.23      1  25        0         1
#> 100   16.07      1  60        0         0
#> 153.1 21.33      1  55        1         0
#> 14    12.89      1  21        0         0
#> 76    19.22      1  54        0         1
#> 194   22.40      1  38        0         1
#> 66.1  22.13      1  53        0         0
#> 13    14.34      1  54        0         1
#> 15    22.68      1  48        0         0
#> 128.1 20.35      1  35        0         1
#> 181   16.46      1  45        0         1
#> 30.2  17.43      1  78        0         0
#> 153.2 21.33      1  55        1         0
#> 23    16.92      1  61        0         0
#> 149    8.37      1  33        1         0
#> 170   19.54      1  43        0         1
#> 145.2 10.07      1  65        1         0
#> 52    10.42      1  52        0         1
#> 136   21.83      1  43        0         1
#> 8.1   18.43      1  32        0         0
#> 125   15.65      1  67        1         0
#> 39    15.59      1  37        0         1
#> 189   10.51      1  NA        1         0
#> 150   20.33      1  48        0         0
#> 43    12.10      1  61        0         1
#> 40    18.00      1  28        1         0
#> 5     16.43      1  51        0         1
#> 37.1  12.52      1  57        1         0
#> 14.1  12.89      1  21        0         0
#> 26.2  15.77      1  49        0         1
#> 77     7.27      1  67        0         1
#> 171   16.57      1  41        0         1
#> 70     7.38      1  30        1         0
#> 55    19.34      1  69        0         1
#> 36    21.19      1  48        0         1
#> 81.2  14.06      1  34        0         0
#> 93    10.33      1  52        0         1
#> 16.1   8.71      1  71        0         1
#> 154   12.63      1  20        1         0
#> 195.1 11.76      1  NA        1         0
#> 113   22.86      1  34        0         0
#> 91     5.33      1  61        0         1
#> 124    9.73      1  NA        1         0
#> 69.2  23.23      1  25        0         1
#> 188   16.16      1  46        0         1
#> 124.1  9.73      1  NA        1         0
#> 5.1   16.43      1  51        0         1
#> 15.1  22.68      1  48        0         0
#> 197.1 21.60      1  69        1         0
#> 189.1 10.51      1  NA        1         0
#> 133.2 14.65      1  57        0         0
#> 90    20.94      1  50        0         1
#> 77.1   7.27      1  67        0         1
#> 183    9.24      1  67        1         0
#> 164   23.60      1  76        0         1
#> 150.1 20.33      1  48        0         0
#> 164.1 23.60      1  76        0         1
#> 147   24.00      0  76        1         0
#> 186   24.00      0  45        1         0
#> 65    24.00      0  57        1         0
#> 9     24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 31    24.00      0  36        0         1
#> 87    24.00      0  27        0         0
#> 2     24.00      0   9        0         0
#> 9.1   24.00      0  31        1         0
#> 65.1  24.00      0  57        1         0
#> 165   24.00      0  47        0         0
#> 71    24.00      0  51        0         0
#> 2.1   24.00      0   9        0         0
#> 172   24.00      0  41        0         0
#> 27    24.00      0  63        1         0
#> 193   24.00      0  45        0         1
#> 182   24.00      0  35        0         0
#> 165.1 24.00      0  47        0         0
#> 161   24.00      0  45        0         0
#> 193.1 24.00      0  45        0         1
#> 141   24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 80    24.00      0  41        0         0
#> 148   24.00      0  61        1         0
#> 137   24.00      0  45        1         0
#> 27.1  24.00      0  63        1         0
#> 72    24.00      0  40        0         1
#> 119   24.00      0  17        0         0
#> 53    24.00      0  32        0         1
#> 28    24.00      0  67        1         0
#> 104   24.00      0  50        1         0
#> 83    24.00      0   6        0         0
#> 82    24.00      0  34        0         0
#> 191   24.00      0  60        0         1
#> 120   24.00      0  68        0         1
#> 11    24.00      0  42        0         1
#> 11.1  24.00      0  42        0         1
#> 64    24.00      0  43        0         0
#> 119.1 24.00      0  17        0         0
#> 103   24.00      0  56        1         0
#> 126   24.00      0  48        0         0
#> 135   24.00      0  58        1         0
#> 142   24.00      0  53        0         0
#> 152   24.00      0  36        0         1
#> 118   24.00      0  44        1         0
#> 67    24.00      0  25        0         0
#> 185   24.00      0  44        1         0
#> 118.1 24.00      0  44        1         0
#> 35    24.00      0  51        0         0
#> 9.2   24.00      0  31        1         0
#> 72.1  24.00      0  40        0         1
#> 1     24.00      0  23        1         0
#> 1.1   24.00      0  23        1         0
#> 98    24.00      0  34        1         0
#> 80.1  24.00      0  41        0         0
#> 17    24.00      0  38        0         1
#> 116   24.00      0  58        0         1
#> 137.1 24.00      0  45        1         0
#> 132   24.00      0  55        0         0
#> 3     24.00      0  31        1         0
#> 71.1  24.00      0  51        0         0
#> 1.2   24.00      0  23        1         0
#> 20    24.00      0  46        1         0
#> 178   24.00      0  52        1         0
#> 7     24.00      0  37        1         0
#> 131   24.00      0  66        0         0
#> 9.3   24.00      0  31        1         0
#> 54    24.00      0  53        1         0
#> 102   24.00      0  49        0         0
#> 72.2  24.00      0  40        0         1
#> 54.1  24.00      0  53        1         0
#> 147.1 24.00      0  76        1         0
#> 176   24.00      0  43        0         1
#> 109   24.00      0  48        0         0
#> 72.3  24.00      0  40        0         1
#> 120.1 24.00      0  68        0         1
#> 34    24.00      0  36        0         0
#> 44    24.00      0  56        0         0
#> 165.2 24.00      0  47        0         0
#> 80.2  24.00      0  41        0         0
#> 12    24.00      0  63        0         0
#> 122   24.00      0  66        0         0
#> 156   24.00      0  50        1         0
#> 82.1  24.00      0  34        0         0
#> 54.2  24.00      0  53        1         0
#> 33    24.00      0  53        0         0
#> 54.3  24.00      0  53        1         0
#> 143   24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.20          NA        NA      NA
#> 2 age, Cure model           0.0274        NA        NA      NA
#> 3 grade_ii, Cure model     -0.476         NA        NA      NA
#> 4 grade_iii, Cure model     0.849         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00500        NA        NA      NA
#> 2 grade_ii, Survival model   0.253          NA        NA      NA
#> 3 grade_iii, Survival model  0.0865         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.19645           0.02737          -0.47550           0.84874  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    267.3 
#> Residual Deviance: 249.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -1.1964494        0.0273670       -0.4755007        0.8487443 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.004997254      0.252611153      0.086505005 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.54853473 0.87781254 0.18245191 0.63946227 0.32669864 0.47830548
#>   [7] 0.11548731 0.27023637 0.60717258 0.53138239 0.51395736 0.35651608
#>  [13] 0.40403442 0.86373332 0.94000823 0.60717258 0.46010518 0.35651608
#>  [19] 0.74782746 0.76998170 0.03622104 0.54853473 0.11548731 0.79904850
#>  [25] 0.84948889 0.68683305 0.23389817 0.63946227 0.71009659 0.59884772
#>  [31] 0.42313828 0.87781254 0.57368104 0.59049480 0.54853473 0.79904850
#>  [37] 0.95355533 0.52268683 0.84948889 0.91969415 0.74782746 0.14414407
#>  [43] 0.91969415 0.89880038 0.35651608 0.41361347 0.82062791 0.30511698
#>  [49] 0.23389817 0.76998170 0.71009659 0.46922925 0.76258561 0.03622104
#>  [55] 0.14414407 0.70237273 0.32669864 0.82787615 0.50515179 0.25804982
#>  [61] 0.27023637 0.79175281 0.20908737 0.42313828 0.66330511 0.60717258
#>  [67] 0.32669864 0.63133914 0.96691126 0.48732189 0.91969415 0.90578710
#>  [73] 0.29344126 0.53138239 0.73273012 0.74029079 0.44172649 0.89180359
#>  [79] 0.58211710 0.67122860 0.86373332 0.82787615 0.71009659 0.98024306
#>  [85] 0.65534690 0.97358847 0.49628002 0.35651608 0.79904850 0.91275159
#>  [91] 0.95355533 0.84228137 0.19585328 0.99341369 0.14414407 0.69461906
#>  [97] 0.67122860 0.20908737 0.30511698 0.76998170 0.39431995 0.98024306
#> [103] 0.94680115 0.08114819 0.44172649 0.08114819 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000 0.00000000
#> 
#> $Time
#>   108    42    92   106   153   105   129    66    30     8    97    99   190 
#> 18.29 12.43 22.92 16.67 21.33 19.75 23.41 22.13 17.43 18.43 19.14 21.19 20.81 
#>    37   187  30.1   158  99.1    29   133    78 108.1 129.1    81   177    79 
#> 12.52  9.92 17.43 20.14 21.19 15.45 14.65 23.88 18.29 23.41 14.06 12.53 16.23 
#>   169 106.1    26   117   128  42.1    41   184 108.2  81.1    16   179 177.1 
#> 22.41 16.67 15.77 17.46 20.35 12.43 18.02 17.77 18.29 14.06  8.71 18.63 12.53 
#>   145  29.1    69 145.1    10  99.2    68   155   197 169.1 133.1  26.1   166 
#> 10.07 15.45 23.23 10.07 10.53 21.19 20.62 13.08 21.60 22.41 14.65 15.77 19.98 
#>   157  78.1  69.1   100 153.1    14    76   194  66.1    13    15 128.1   181 
#> 15.10 23.88 23.23 16.07 21.33 12.89 19.22 22.40 22.13 14.34 22.68 20.35 16.46 
#>  30.2 153.2    23   149   170 145.2    52   136   8.1   125    39   150    43 
#> 17.43 21.33 16.92  8.37 19.54 10.07 10.42 21.83 18.43 15.65 15.59 20.33 12.10 
#>    40     5  37.1  14.1  26.2    77   171    70    55    36  81.2    93  16.1 
#> 18.00 16.43 12.52 12.89 15.77  7.27 16.57  7.38 19.34 21.19 14.06 10.33  8.71 
#>   154   113    91  69.2   188   5.1  15.1 197.1 133.2    90  77.1   183   164 
#> 12.63 22.86  5.33 23.23 16.16 16.43 22.68 21.60 14.65 20.94  7.27  9.24 23.60 
#> 150.1 164.1   147   186    65     9   151    31    87     2   9.1  65.1   165 
#> 20.33 23.60 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71   2.1   172    27   193   182 165.1   161 193.1   141   146    80   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137  27.1    72   119    53    28   104    83    82   191   120    11  11.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64 119.1   103   126   135   142   152   118    67   185 118.1    35   9.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.1     1   1.1    98  80.1    17   116 137.1   132     3  71.1   1.2    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178     7   131   9.3    54   102  72.2  54.1 147.1   176   109  72.3 120.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34    44 165.2  80.2    12   122   156  82.1  54.2    33  54.3   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[45]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003685423               0.611282573               0.071846945 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.36318238              0.01024015             -0.06316658 
#>   grade_iii, Cure model 
#>              0.26597915 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 194   22.40      1  38        0         1
#> 70     7.38      1  30        1         0
#> 106   16.67      1  49        1         0
#> 199   19.81      1  NA        0         1
#> 58    19.34      1  39        0         0
#> 43    12.10      1  61        0         1
#> 10    10.53      1  34        0         0
#> 10.1  10.53      1  34        0         0
#> 63    22.77      1  31        1         0
#> 100   16.07      1  60        0         0
#> 15    22.68      1  48        0         0
#> 58.1  19.34      1  39        0         0
#> 192   16.44      1  31        1         0
#> 76    19.22      1  54        0         1
#> 26    15.77      1  49        0         1
#> 159   10.55      1  50        0         1
#> 57    14.46      1  45        0         1
#> 110   17.56      1  65        0         1
#> 70.1   7.38      1  30        1         0
#> 10.2  10.53      1  34        0         0
#> 70.2   7.38      1  30        1         0
#> 100.1 16.07      1  60        0         0
#> 158   20.14      1  74        1         0
#> 51    18.23      1  83        0         1
#> 79    16.23      1  54        1         0
#> 89    11.44      1  NA        0         0
#> 128   20.35      1  35        0         1
#> 90    20.94      1  50        0         1
#> 107   11.18      1  54        1         0
#> 114   13.68      1  NA        0         0
#> 154   12.63      1  20        1         0
#> 32    20.90      1  37        1         0
#> 63.1  22.77      1  31        1         0
#> 52    10.42      1  52        0         1
#> 10.3  10.53      1  34        0         0
#> 158.1 20.14      1  74        1         0
#> 153   21.33      1  55        1         0
#> 25     6.32      1  34        1         0
#> 110.1 17.56      1  65        0         1
#> 166   19.98      1  48        0         0
#> 188   16.16      1  46        0         1
#> 92    22.92      1  47        0         1
#> 155   13.08      1  26        0         0
#> 183    9.24      1  67        1         0
#> 4     17.64      1  NA        0         1
#> 113   22.86      1  34        0         0
#> 108   18.29      1  39        0         1
#> 41    18.02      1  40        1         0
#> 136   21.83      1  43        0         1
#> 183.1  9.24      1  67        1         0
#> 76.1  19.22      1  54        0         1
#> 51.1  18.23      1  83        0         1
#> 68    20.62      1  44        0         0
#> 69    23.23      1  25        0         1
#> 194.1 22.40      1  38        0         1
#> 66    22.13      1  53        0         0
#> 189   10.51      1  NA        1         0
#> 187    9.92      1  39        1         0
#> 113.1 22.86      1  34        0         0
#> 50    10.02      1  NA        1         0
#> 123   13.00      1  44        1         0
#> 23    16.92      1  61        0         0
#> 70.3   7.38      1  30        1         0
#> 5     16.43      1  51        0         1
#> 188.1 16.16      1  46        0         1
#> 175   21.91      1  43        0         0
#> 88    18.37      1  47        0         0
#> 108.1 18.29      1  39        0         1
#> 175.1 21.91      1  43        0         0
#> 183.2  9.24      1  67        1         0
#> 197   21.60      1  69        1         0
#> 55    19.34      1  69        0         1
#> 127    3.53      1  62        0         1
#> 166.1 19.98      1  48        0         0
#> 86    23.81      1  58        0         1
#> 25.1   6.32      1  34        1         0
#> 175.2 21.91      1  43        0         0
#> 130   16.47      1  53        0         1
#> 175.3 21.91      1  43        0         0
#> 96    14.54      1  33        0         1
#> 60    13.15      1  38        1         0
#> 68.1  20.62      1  44        0         0
#> 60.1  13.15      1  38        1         0
#> 57.1  14.46      1  45        0         1
#> 171   16.57      1  41        0         1
#> 100.2 16.07      1  60        0         0
#> 114.1 13.68      1  NA        0         0
#> 43.1  12.10      1  61        0         1
#> 61    10.12      1  36        0         1
#> 188.2 16.16      1  46        0         1
#> 106.1 16.67      1  49        1         0
#> 124    9.73      1  NA        1         0
#> 4.1   17.64      1  NA        0         1
#> 6     15.64      1  39        0         0
#> 127.1  3.53      1  62        0         1
#> 97    19.14      1  65        0         1
#> 169   22.41      1  46        0         0
#> 45    17.42      1  54        0         1
#> 170   19.54      1  43        0         1
#> 90.1  20.94      1  50        0         1
#> 41.1  18.02      1  40        1         0
#> 86.1  23.81      1  58        0         1
#> 56    12.21      1  60        0         0
#> 194.2 22.40      1  38        0         1
#> 154.1 12.63      1  20        1         0
#> 123.1 13.00      1  44        1         0
#> 171.1 16.57      1  41        0         1
#> 133   14.65      1  57        0         0
#> 190   20.81      1  42        1         0
#> 77     7.27      1  67        0         1
#> 149    8.37      1  33        1         0
#> 15.1  22.68      1  48        0         0
#> 132   24.00      0  55        0         0
#> 83    24.00      0   6        0         0
#> 11    24.00      0  42        0         1
#> 87    24.00      0  27        0         0
#> 72    24.00      0  40        0         1
#> 191   24.00      0  60        0         1
#> 186   24.00      0  45        1         0
#> 146   24.00      0  63        1         0
#> 27    24.00      0  63        1         0
#> 165   24.00      0  47        0         0
#> 48    24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 148   24.00      0  61        1         0
#> 142   24.00      0  53        0         0
#> 137   24.00      0  45        1         0
#> 62    24.00      0  71        0         0
#> 28    24.00      0  67        1         0
#> 151   24.00      0  42        0         0
#> 103   24.00      0  56        1         0
#> 95    24.00      0  68        0         1
#> 144   24.00      0  28        0         1
#> 173   24.00      0  19        0         1
#> 121   24.00      0  57        1         0
#> 64    24.00      0  43        0         0
#> 176   24.00      0  43        0         1
#> 75    24.00      0  21        1         0
#> 200   24.00      0  64        0         0
#> 19    24.00      0  57        0         1
#> 95.1  24.00      0  68        0         1
#> 118   24.00      0  44        1         0
#> 152   24.00      0  36        0         1
#> 118.1 24.00      0  44        1         0
#> 156   24.00      0  50        1         0
#> 35    24.00      0  51        0         0
#> 74    24.00      0  43        0         1
#> 3     24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 116   24.00      0  58        0         1
#> 120   24.00      0  68        0         1
#> 109   24.00      0  48        0         0
#> 118.2 24.00      0  44        1         0
#> 176.1 24.00      0  43        0         1
#> 144.1 24.00      0  28        0         1
#> 193   24.00      0  45        0         1
#> 196   24.00      0  19        0         0
#> 104   24.00      0  50        1         0
#> 182   24.00      0  35        0         0
#> 148.1 24.00      0  61        1         0
#> 115   24.00      0  NA        1         0
#> 186.1 24.00      0  45        1         0
#> 1     24.00      0  23        1         0
#> 173.1 24.00      0  19        0         1
#> 146.1 24.00      0  63        1         0
#> 17    24.00      0  38        0         1
#> 112   24.00      0  61        0         0
#> 98    24.00      0  34        1         0
#> 95.2  24.00      0  68        0         1
#> 19.1  24.00      0  57        0         1
#> 196.1 24.00      0  19        0         0
#> 95.3  24.00      0  68        0         1
#> 73    24.00      0  NA        0         1
#> 144.2 24.00      0  28        0         1
#> 2     24.00      0   9        0         0
#> 178   24.00      0  52        1         0
#> 142.1 24.00      0  53        0         0
#> 138   24.00      0  44        1         0
#> 143   24.00      0  51        0         0
#> 83.1  24.00      0   6        0         0
#> 116.1 24.00      0  58        0         1
#> 1.1   24.00      0  23        1         0
#> 173.2 24.00      0  19        0         1
#> 48.1  24.00      0  31        1         0
#> 186.2 24.00      0  45        1         0
#> 152.1 24.00      0  36        0         1
#> 3.1   24.00      0  31        1         0
#> 104.1 24.00      0  50        1         0
#> 95.4  24.00      0  68        0         1
#> 112.1 24.00      0  61        0         0
#> 2.1   24.00      0   9        0         0
#> 2.2   24.00      0   9        0         0
#> 182.1 24.00      0  35        0         0
#> 35.1  24.00      0  51        0         0
#> 120.1 24.00      0  68        0         1
#> 141   24.00      0  44        1         0
#> 142.2 24.00      0  53        0         0
#> 112.2 24.00      0  61        0         0
#> 34    24.00      0  36        0         0
#> 147   24.00      0  76        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.363         NA        NA      NA
#> 2 age, Cure model           0.0102        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0632        NA        NA      NA
#> 4 grade_iii, Cure model     0.266         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00369        NA        NA      NA
#> 2 grade_ii, Survival model   0.611          NA        NA      NA
#> 3 grade_iii, Survival model  0.0718         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.36318           0.01024          -0.06317           0.26598  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 258 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.36318238       0.01024015      -0.06316658       0.26597915 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003685423      0.611282573      0.071846945 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.21887303 0.94287291 0.62518661 0.47428460 0.83974127 0.86792689
#>   [7] 0.86792689 0.14910903 0.71275467 0.17739065 0.47428460 0.66577904
#>  [13] 0.50180170 0.73568863 0.86091475 0.76640751 0.59127486 0.94287291
#>  [19] 0.86792689 0.94287291 0.71275467 0.42689086 0.55642028 0.68177019
#>  [25] 0.41660780 0.35302607 0.85388589 0.81834020 0.37496393 0.14910903
#>  [31] 0.89551985 0.86792689 0.42689086 0.34167221 0.97480398 0.59127486
#>  [37] 0.44592284 0.68963671 0.09354062 0.79639130 0.91632527 0.11372942
#>  [43] 0.53842979 0.57414776 0.31735871 0.91632527 0.50180170 0.55642028
#>  [49] 0.39618481 0.07209126 0.21887303 0.25675047 0.90943378 0.11372942
#>  [55] 0.80383461 0.61671934 0.94287291 0.67378869 0.68963671 0.26990680
#>  [61] 0.52928402 0.53842979 0.26990680 0.91632527 0.32982356 0.47428460
#>  [67] 0.98743014 0.44592284 0.03400035 0.97480398 0.26990680 0.65766536
#>  [73] 0.26990680 0.75875244 0.78156040 0.39618481 0.78156040 0.76640751
#>  [79] 0.64147731 0.71275467 0.83974127 0.90248290 0.68963671 0.62518661
#>  [85] 0.74339089 0.98743014 0.52010826 0.20483637 0.60822266 0.46479906
#>  [91] 0.35302607 0.57414776 0.03400035 0.83259720 0.21887303 0.81834020
#>  [97] 0.80383461 0.64147731 0.75108085 0.38574232 0.96837942 0.93623870
#> [103] 0.17739065 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   194    70   106    58    43    10  10.1    63   100    15  58.1   192    76 
#> 22.40  7.38 16.67 19.34 12.10 10.53 10.53 22.77 16.07 22.68 19.34 16.44 19.22 
#>    26   159    57   110  70.1  10.2  70.2 100.1   158    51    79   128    90 
#> 15.77 10.55 14.46 17.56  7.38 10.53  7.38 16.07 20.14 18.23 16.23 20.35 20.94 
#>   107   154    32  63.1    52  10.3 158.1   153    25 110.1   166   188    92 
#> 11.18 12.63 20.90 22.77 10.42 10.53 20.14 21.33  6.32 17.56 19.98 16.16 22.92 
#>   155   183   113   108    41   136 183.1  76.1  51.1    68    69 194.1    66 
#> 13.08  9.24 22.86 18.29 18.02 21.83  9.24 19.22 18.23 20.62 23.23 22.40 22.13 
#>   187 113.1   123    23  70.3     5 188.1   175    88 108.1 175.1 183.2   197 
#>  9.92 22.86 13.00 16.92  7.38 16.43 16.16 21.91 18.37 18.29 21.91  9.24 21.60 
#>    55   127 166.1    86  25.1 175.2   130 175.3    96    60  68.1  60.1  57.1 
#> 19.34  3.53 19.98 23.81  6.32 21.91 16.47 21.91 14.54 13.15 20.62 13.15 14.46 
#>   171 100.2  43.1    61 188.2 106.1     6 127.1    97   169    45   170  90.1 
#> 16.57 16.07 12.10 10.12 16.16 16.67 15.64  3.53 19.14 22.41 17.42 19.54 20.94 
#>  41.1  86.1    56 194.2 154.1 123.1 171.1   133   190    77   149  15.1   132 
#> 18.02 23.81 12.21 22.40 12.63 13.00 16.57 14.65 20.81  7.27  8.37 22.68 24.00 
#>    83    11    87    72   191   186   146    27   165    48     9   148   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137    62    28   151   103    95   144   173   121    64   176    75   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19  95.1   118   152 118.1   156    35    74     3    47   116   120   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 118.2 176.1 144.1   193   196   104   182 148.1 186.1     1 173.1 146.1    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112    98  95.2  19.1 196.1  95.3 144.2     2   178 142.1   138   143  83.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 116.1   1.1 173.2  48.1 186.2 152.1   3.1 104.1  95.4 112.1   2.1   2.2 182.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  35.1 120.1   141 142.2 112.2    34   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[46]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01774217                0.46746607                0.48875405 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.115994805            -0.002059818             0.082356665 
#>   grade_iii, Cure model 
#>             1.208439391 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 16     8.71      1  71        0         1
#> 164   23.60      1  76        0         1
#> 128   20.35      1  35        0         1
#> 51    18.23      1  83        0         1
#> 110   17.56      1  65        0         1
#> 25     6.32      1  34        1         0
#> 32    20.90      1  37        1         0
#> 56    12.21      1  60        0         0
#> 199   19.81      1  NA        0         1
#> 14    12.89      1  21        0         0
#> 15    22.68      1  48        0         0
#> 117   17.46      1  26        0         1
#> 139   21.49      1  63        1         0
#> 40    18.00      1  28        1         0
#> 92    22.92      1  47        0         1
#> 187    9.92      1  39        1         0
#> 70     7.38      1  30        1         0
#> 50    10.02      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 113   22.86      1  34        0         0
#> 111   17.45      1  47        0         1
#> 52    10.42      1  52        0         1
#> 111.1 17.45      1  47        0         1
#> 16.1   8.71      1  71        0         1
#> 55    19.34      1  69        0         1
#> 128.1 20.35      1  35        0         1
#> 50.1  10.02      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 139.1 21.49      1  63        1         0
#> 164.1 23.60      1  76        0         1
#> 195   11.76      1  NA        1         0
#> 88    18.37      1  47        0         0
#> 114   13.68      1  NA        0         0
#> 5     16.43      1  51        0         1
#> 188   16.16      1  46        0         1
#> 153   21.33      1  55        1         0
#> 190   20.81      1  42        1         0
#> 50.2  10.02      1  NA        1         0
#> 133   14.65      1  57        0         0
#> 123   13.00      1  44        1         0
#> 139.2 21.49      1  63        1         0
#> 26    15.77      1  49        0         1
#> 197   21.60      1  69        1         0
#> 14.1  12.89      1  21        0         0
#> 24    23.89      1  38        0         0
#> 97    19.14      1  65        0         1
#> 117.1 17.46      1  26        0         1
#> 50.3  10.02      1  NA        1         0
#> 155   13.08      1  26        0         0
#> 49    12.19      1  48        1         0
#> 24.1  23.89      1  38        0         0
#> 106   16.67      1  49        1         0
#> 40.1  18.00      1  28        1         0
#> 129   23.41      1  53        1         0
#> 50.4  10.02      1  NA        1         0
#> 106.1 16.67      1  49        1         0
#> 18    15.21      1  49        1         0
#> 114.1 13.68      1  NA        0         0
#> 90    20.94      1  50        0         1
#> 25.1   6.32      1  34        1         0
#> 113.1 22.86      1  34        0         0
#> 170   19.54      1  43        0         1
#> 123.1 13.00      1  44        1         0
#> 39    15.59      1  37        0         1
#> 97.1  19.14      1  65        0         1
#> 113.2 22.86      1  34        0         0
#> 133.1 14.65      1  57        0         0
#> 10    10.53      1  34        0         0
#> 149    8.37      1  33        1         0
#> 129.1 23.41      1  53        1         0
#> 77     7.27      1  67        0         1
#> 194   22.40      1  38        0         1
#> 175   21.91      1  43        0         0
#> 79    16.23      1  54        1         0
#> 134   17.81      1  47        1         0
#> 14.2  12.89      1  21        0         0
#> 139.3 21.49      1  63        1         0
#> 77.1   7.27      1  67        0         1
#> 154   12.63      1  20        1         0
#> 16.2   8.71      1  71        0         1
#> 26.1  15.77      1  49        0         1
#> 5.1   16.43      1  51        0         1
#> 49.1  12.19      1  48        1         0
#> 199.1 19.81      1  NA        0         1
#> 134.1 17.81      1  47        1         0
#> 106.2 16.67      1  49        1         0
#> 37    12.52      1  57        1         0
#> 169   22.41      1  46        0         0
#> 101    9.97      1  10        0         1
#> 41    18.02      1  40        1         0
#> 89    11.44      1  NA        0         0
#> 155.1 13.08      1  26        0         0
#> 190.1 20.81      1  42        1         0
#> 6     15.64      1  39        0         0
#> 171   16.57      1  41        0         1
#> 88.1  18.37      1  47        0         0
#> 50.5  10.02      1  NA        1         0
#> 106.3 16.67      1  49        1         0
#> 189   10.51      1  NA        1         0
#> 88.2  18.37      1  47        0         0
#> 86    23.81      1  58        0         1
#> 154.1 12.63      1  20        1         0
#> 39.1  15.59      1  37        0         1
#> 155.2 13.08      1  26        0         0
#> 89.1  11.44      1  NA        0         0
#> 16.3   8.71      1  71        0         1
#> 111.2 17.45      1  47        0         1
#> 134.2 17.81      1  47        1         0
#> 58    19.34      1  39        0         0
#> 50.6  10.02      1  NA        1         0
#> 129.2 23.41      1  53        1         0
#> 85    16.44      1  36        0         0
#> 138   24.00      0  44        1         0
#> 62    24.00      0  71        0         0
#> 12    24.00      0  63        0         0
#> 144   24.00      0  28        0         1
#> 46    24.00      0  71        0         0
#> 103   24.00      0  56        1         0
#> 21    24.00      0  47        0         0
#> 103.1 24.00      0  56        1         0
#> 172   24.00      0  41        0         0
#> 67    24.00      0  25        0         0
#> 137   24.00      0  45        1         0
#> 7     24.00      0  37        1         0
#> 27    24.00      0  63        1         0
#> 122   24.00      0  66        0         0
#> 9     24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 193   24.00      0  45        0         1
#> 104   24.00      0  50        1         0
#> 147   24.00      0  76        1         0
#> 109   24.00      0  48        0         0
#> 172.1 24.00      0  41        0         0
#> 54    24.00      0  53        1         0
#> 35    24.00      0  51        0         0
#> 160   24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 138.1 24.00      0  44        1         0
#> 200   24.00      0  64        0         0
#> 191   24.00      0  60        0         1
#> 138.2 24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 74    24.00      0  43        0         1
#> 72    24.00      0  40        0         1
#> 132   24.00      0  55        0         0
#> 147.1 24.00      0  76        1         0
#> 84    24.00      0  39        0         1
#> 71    24.00      0  51        0         0
#> 148   24.00      0  61        1         0
#> 141   24.00      0  44        1         0
#> 121   24.00      0  57        1         0
#> 9.1   24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 64    24.00      0  43        0         0
#> 12.1  24.00      0  63        0         0
#> 54.1  24.00      0  53        1         0
#> 161   24.00      0  45        0         0
#> 131   24.00      0  66        0         0
#> 116   24.00      0  58        0         1
#> 174   24.00      0  49        1         0
#> 173   24.00      0  19        0         1
#> 3     24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 65    24.00      0  57        1         0
#> 1     24.00      0  23        1         0
#> 9.2   24.00      0  31        1         0
#> 65.1  24.00      0  57        1         0
#> 54.2  24.00      0  53        1         0
#> 132.1 24.00      0  55        0         0
#> 48    24.00      0  31        1         0
#> 144.1 24.00      0  28        0         1
#> 182   24.00      0  35        0         0
#> 147.2 24.00      0  76        1         0
#> 98    24.00      0  34        1         0
#> 186   24.00      0  45        1         0
#> 27.1  24.00      0  63        1         0
#> 161.1 24.00      0  45        0         0
#> 65.2  24.00      0  57        1         0
#> 137.1 24.00      0  45        1         0
#> 87.1  24.00      0  27        0         0
#> 185.1 24.00      0  44        1         0
#> 2     24.00      0   9        0         0
#> 115   24.00      0  NA        1         0
#> 196   24.00      0  19        0         0
#> 116.1 24.00      0  58        0         1
#> 3.1   24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 80.1  24.00      0  41        0         0
#> 112   24.00      0  61        0         0
#> 103.2 24.00      0  56        1         0
#> 162   24.00      0  51        0         0
#> 72.1  24.00      0  40        0         1
#> 137.2 24.00      0  45        1         0
#> 65.3  24.00      0  57        1         0
#> 122.1 24.00      0  66        0         0
#> 104.1 24.00      0  50        1         0
#> 142   24.00      0  53        0         0
#> 87.2  24.00      0  27        0         0
#> 176   24.00      0  43        0         1
#> 9.3   24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.116          NA        NA      NA
#> 2 age, Cure model         -0.00206        NA        NA      NA
#> 3 grade_ii, Cure model     0.0824         NA        NA      NA
#> 4 grade_iii, Cure model    1.21           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0177        NA        NA      NA
#> 2 grade_ii, Survival model    0.467         NA        NA      NA
#> 3 grade_iii, Survival model   0.489         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.11599          -0.00206           0.08236           1.20844  
#> 
#> Degrees of Freedom: 182 Total (i.e. Null);  179 Residual
#> Null Deviance:	    253 
#> Residual Deviance: 242.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.115994805     -0.002059818      0.082356665      1.208439391 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01774217       0.46746607       0.48875405 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.8457075414 0.0037416818 0.1233436294 0.2097608789 0.2807645645
#>   [6] 0.9685267724 0.1002397560 0.7422125777 0.6441162660 0.0324635792
#>  [11] 0.2915513956 0.0599799668 0.2301212913 0.0169656969 0.8307727562
#>  [16] 0.9216416602 0.3447762414 0.0207004482 0.3126839338 0.8009109882
#>  [21] 0.3126839338 0.8457075414 0.1471429588 0.1233436294 0.7135411586
#>  [26] 0.0599799668 0.0037416818 0.1816253892 0.4248772933 0.4613063576
#>  [31] 0.0852169082 0.1079524361 0.5499462750 0.6166581131 0.0599799668
#>  [36] 0.4737397139 0.0538665803 0.6441162660 0.0002816001 0.1639439160
#>  [41] 0.2915513956 0.5764094322 0.7567927668 0.0002816001 0.3560957176
#>  [46] 0.2301212913 0.0084690703 0.3560957176 0.5369543444 0.0926281670
#>  [51] 0.9685267724 0.0207004482 0.1389787242 0.6166581131 0.5114862912
#>  [56] 0.1639439160 0.0207004482 0.5499462750 0.7860282006 0.9061168198
#>  [61] 0.0084690703 0.9371829322 0.0426821021 0.0481008449 0.4489658776
#>  [66] 0.2501797508 0.6441162660 0.0599799668 0.9371829322 0.6856798090
#>  [71] 0.8457075414 0.4737397139 0.4248772933 0.7567927668 0.2501797508
#>  [76] 0.3560957176 0.7278176421 0.0373780794 0.8158917653 0.2198903598
#>  [81] 0.5764094322 0.1079524361 0.4986894409 0.4010689279 0.1816253892
#>  [86] 0.3560957176 0.1816253892 0.0020041098 0.6856798090 0.5114862912
#>  [91] 0.5764094322 0.8457075414 0.3126839338 0.2501797508 0.1471429588
#>  [96] 0.0084690703 0.4128921047 0.0000000000 0.0000000000 0.0000000000
#> [101] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>    16   164   128    51   110    25    32    56    14    15   117   139    40 
#>  8.71 23.60 20.35 18.23 17.56  6.32 20.90 12.21 12.89 22.68 17.46 21.49 18.00 
#>    92   187    70    30   113   111    52 111.1  16.1    55 128.1   177 139.1 
#> 22.92  9.92  7.38 17.43 22.86 17.45 10.42 17.45  8.71 19.34 20.35 12.53 21.49 
#> 164.1    88     5   188   153   190   133   123 139.2    26   197  14.1    24 
#> 23.60 18.37 16.43 16.16 21.33 20.81 14.65 13.00 21.49 15.77 21.60 12.89 23.89 
#>    97 117.1   155    49  24.1   106  40.1   129 106.1    18    90  25.1 113.1 
#> 19.14 17.46 13.08 12.19 23.89 16.67 18.00 23.41 16.67 15.21 20.94  6.32 22.86 
#>   170 123.1    39  97.1 113.2 133.1    10   149 129.1    77   194   175    79 
#> 19.54 13.00 15.59 19.14 22.86 14.65 10.53  8.37 23.41  7.27 22.40 21.91 16.23 
#>   134  14.2 139.3  77.1   154  16.2  26.1   5.1  49.1 134.1 106.2    37   169 
#> 17.81 12.89 21.49  7.27 12.63  8.71 15.77 16.43 12.19 17.81 16.67 12.52 22.41 
#>   101    41 155.1 190.1     6   171  88.1 106.3  88.2    86 154.1  39.1 155.2 
#>  9.97 18.02 13.08 20.81 15.64 16.57 18.37 16.67 18.37 23.81 12.63 15.59 13.08 
#>  16.3 111.2 134.2    58 129.2    85   138    62    12   144    46   103    21 
#>  8.71 17.45 17.81 19.34 23.41 16.44 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 103.1   172    67   137     7    27   122     9    87   193   104   147   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.1    54    35   160   185 138.1   200   191 138.2    74    72   132 147.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84    71   148   141   121   9.1    80    64  12.1  54.1   161   131   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174   173     3   151    65     1   9.2  65.1  54.2 132.1    48 144.1   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 147.2    98   186  27.1 161.1  65.2 137.1  87.1 185.1     2   196 116.1   3.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53  80.1   112 103.2   162  72.1 137.2  65.3 122.1 104.1   142  87.2   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.3 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[47]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003176589               0.758942857               0.301012449 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              1.06422584             -0.01972777             -0.24558705 
#>   grade_iii, Cure model 
#>              0.59023055 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 113   22.86      1  34        0         0
#> 159   10.55      1  50        0         1
#> 105   19.75      1  60        0         0
#> 189   10.51      1  NA        1         0
#> 77     7.27      1  67        0         1
#> 40    18.00      1  28        1         0
#> 106   16.67      1  49        1         0
#> 101    9.97      1  10        0         1
#> 192   16.44      1  31        1         0
#> 180   14.82      1  37        0         0
#> 136   21.83      1  43        0         1
#> 164   23.60      1  76        0         1
#> 36    21.19      1  48        0         1
#> 139   21.49      1  63        1         0
#> 89    11.44      1  NA        0         0
#> 79    16.23      1  54        1         0
#> 8     18.43      1  32        0         0
#> 107   11.18      1  54        1         0
#> 24    23.89      1  38        0         0
#> 106.1 16.67      1  49        1         0
#> 110   17.56      1  65        0         1
#> 81    14.06      1  34        0         0
#> 187    9.92      1  39        1         0
#> 52    10.42      1  52        0         1
#> 85    16.44      1  36        0         0
#> 164.1 23.60      1  76        0         1
#> 68    20.62      1  44        0         0
#> 77.1   7.27      1  67        0         1
#> 40.1  18.00      1  28        1         0
#> 13    14.34      1  54        0         1
#> 78    23.88      1  43        0         0
#> 153   21.33      1  55        1         0
#> 170   19.54      1  43        0         1
#> 136.1 21.83      1  43        0         1
#> 183    9.24      1  67        1         0
#> 25     6.32      1  34        1         0
#> 43    12.10      1  61        0         1
#> 157   15.10      1  47        0         0
#> 199   19.81      1  NA        0         1
#> 8.1   18.43      1  32        0         0
#> 15    22.68      1  48        0         0
#> 25.1   6.32      1  34        1         0
#> 5     16.43      1  51        0         1
#> 39    15.59      1  37        0         1
#> 32    20.90      1  37        1         0
#> 26    15.77      1  49        0         1
#> 106.2 16.67      1  49        1         0
#> 108   18.29      1  39        0         1
#> 37    12.52      1  57        1         0
#> 170.1 19.54      1  43        0         1
#> 195   11.76      1  NA        1         0
#> 90    20.94      1  50        0         1
#> 93    10.33      1  52        0         1
#> 45    17.42      1  54        0         1
#> 96    14.54      1  33        0         1
#> 8.2   18.43      1  32        0         0
#> 29    15.45      1  68        1         0
#> 114   13.68      1  NA        0         0
#> 179   18.63      1  42        0         0
#> 37.1  12.52      1  57        1         0
#> 58    19.34      1  39        0         0
#> 40.2  18.00      1  28        1         0
#> 61    10.12      1  36        0         1
#> 179.1 18.63      1  42        0         0
#> 24.1  23.89      1  38        0         0
#> 199.1 19.81      1  NA        0         1
#> 113.1 22.86      1  34        0         0
#> 192.1 16.44      1  31        1         0
#> 60    13.15      1  38        1         0
#> 93.1  10.33      1  52        0         1
#> 183.1  9.24      1  67        1         0
#> 159.1 10.55      1  50        0         1
#> 106.3 16.67      1  49        1         0
#> 16     8.71      1  71        0         1
#> 26.1  15.77      1  49        0         1
#> 145   10.07      1  65        1         0
#> 69    23.23      1  25        0         1
#> 175   21.91      1  43        0         0
#> 86    23.81      1  58        0         1
#> 180.1 14.82      1  37        0         0
#> 79.1  16.23      1  54        1         0
#> 158   20.14      1  74        1         0
#> 111   17.45      1  47        0         1
#> 187.1  9.92      1  39        1         0
#> 155   13.08      1  26        0         0
#> 36.1  21.19      1  48        0         1
#> 90.1  20.94      1  50        0         1
#> 81.1  14.06      1  34        0         0
#> 68.1  20.62      1  44        0         0
#> 16.1   8.71      1  71        0         1
#> 51    18.23      1  83        0         1
#> 18    15.21      1  49        1         0
#> 16.2   8.71      1  71        0         1
#> 157.1 15.10      1  47        0         0
#> 77.2   7.27      1  67        0         1
#> 68.2  20.62      1  44        0         0
#> 164.2 23.60      1  76        0         1
#> 92    22.92      1  47        0         1
#> 29.1  15.45      1  68        1         0
#> 36.2  21.19      1  48        0         1
#> 157.2 15.10      1  47        0         0
#> 63    22.77      1  31        1         0
#> 110.1 17.56      1  65        0         1
#> 145.1 10.07      1  65        1         0
#> 55    19.34      1  69        0         1
#> 14    12.89      1  21        0         0
#> 180.2 14.82      1  37        0         0
#> 99    21.19      1  38        0         1
#> 36.3  21.19      1  48        0         1
#> 4     17.64      1  NA        0         1
#> 10    10.53      1  34        0         0
#> 197   21.60      1  69        1         0
#> 131   24.00      0  66        0         0
#> 131.1 24.00      0  66        0         0
#> 198   24.00      0  66        0         1
#> 28    24.00      0  67        1         0
#> 122   24.00      0  66        0         0
#> 98    24.00      0  34        1         0
#> 118   24.00      0  44        1         0
#> 121   24.00      0  57        1         0
#> 147   24.00      0  76        1         0
#> 44    24.00      0  56        0         0
#> 22    24.00      0  52        1         0
#> 21    24.00      0  47        0         0
#> 31    24.00      0  36        0         1
#> 44.1  24.00      0  56        0         0
#> 116   24.00      0  58        0         1
#> 115   24.00      0  NA        1         0
#> 95    24.00      0  68        0         1
#> 148   24.00      0  61        1         0
#> 193   24.00      0  45        0         1
#> 191   24.00      0  60        0         1
#> 53    24.00      0  32        0         1
#> 27    24.00      0  63        1         0
#> 148.1 24.00      0  61        1         0
#> 7     24.00      0  37        1         0
#> 62    24.00      0  71        0         0
#> 161   24.00      0  45        0         0
#> 112   24.00      0  61        0         0
#> 103   24.00      0  56        1         0
#> 152   24.00      0  36        0         1
#> 156   24.00      0  50        1         0
#> 62.1  24.00      0  71        0         0
#> 118.1 24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 33    24.00      0  53        0         0
#> 104   24.00      0  50        1         0
#> 94    24.00      0  51        0         1
#> 112.1 24.00      0  61        0         0
#> 112.2 24.00      0  61        0         0
#> 174   24.00      0  49        1         0
#> 17    24.00      0  38        0         1
#> 103.1 24.00      0  56        1         0
#> 38    24.00      0  31        1         0
#> 131.2 24.00      0  66        0         0
#> 115.1 24.00      0  NA        1         0
#> 146   24.00      0  63        1         0
#> 121.1 24.00      0  57        1         0
#> 147.1 24.00      0  76        1         0
#> 65    24.00      0  57        1         0
#> 75    24.00      0  21        1         0
#> 62.2  24.00      0  71        0         0
#> 143   24.00      0  51        0         0
#> 31.1  24.00      0  36        0         1
#> 47    24.00      0  38        0         1
#> 94.1  24.00      0  51        0         1
#> 74    24.00      0  43        0         1
#> 186   24.00      0  45        1         0
#> 198.1 24.00      0  66        0         1
#> 44.2  24.00      0  56        0         0
#> 98.1  24.00      0  34        1         0
#> 17.1  24.00      0  38        0         1
#> 156.1 24.00      0  50        1         0
#> 148.2 24.00      0  61        1         0
#> 118.2 24.00      0  44        1         0
#> 198.2 24.00      0  66        0         1
#> 174.1 24.00      0  49        1         0
#> 95.1  24.00      0  68        0         1
#> 182   24.00      0  35        0         0
#> 173   24.00      0  19        0         1
#> 191.1 24.00      0  60        0         1
#> 1     24.00      0  23        1         0
#> 75.1  24.00      0  21        1         0
#> 185   24.00      0  44        1         0
#> 83    24.00      0   6        0         0
#> 131.3 24.00      0  66        0         0
#> 1.1   24.00      0  23        1         0
#> 34    24.00      0  36        0         0
#> 135   24.00      0  58        1         0
#> 121.2 24.00      0  57        1         0
#> 198.3 24.00      0  66        0         1
#> 35    24.00      0  51        0         0
#> 132   24.00      0  55        0         0
#> 198.4 24.00      0  66        0         1
#> 198.5 24.00      0  66        0         1
#> 148.3 24.00      0  61        1         0
#> 198.6 24.00      0  66        0         1
#> 7.1   24.00      0  37        1         0
#> 9     24.00      0  31        1         0
#> 163   24.00      0  66        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model   1.06          NA        NA      NA
#> 2 age, Cure model          -0.0197        NA        NA      NA
#> 3 grade_ii, Cure model     -0.246         NA        NA      NA
#> 4 grade_iii, Cure model     0.590         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00318        NA        NA      NA
#> 2 grade_ii, Survival model   0.759          NA        NA      NA
#> 3 grade_iii, Survival model  0.301          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          1.06423          -0.01973          -0.24559           0.59023  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 254.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       1.06422584      -0.01972777      -0.24558705       0.59023055 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003176589      0.758942857      0.301012449 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.13189844 0.83174167 0.37414614 0.96285753 0.49323961 0.55867635
#>   [7] 0.90242580 0.59341861 0.71834007 0.19572485 0.06815910 0.25442256
#>  [13] 0.23183062 0.62763711 0.44352518 0.82379964 0.01158977 0.55867635
#>  [19] 0.52115714 0.75911929 0.91018157 0.85542994 0.59341861 0.06815910
#>  [25] 0.33427811 0.96285753 0.49323961 0.75093075 0.03581693 0.24333451
#>  [31] 0.38422804 0.19572485 0.92539797 0.98523232 0.81579593 0.69404185
#>  [37] 0.44352518 0.17030689 0.98523232 0.61900576 0.66112458 0.32414458
#>  [43] 0.64441487 0.55867635 0.47315208 0.79984942 0.38422804 0.30362686
#>  [49] 0.86334508 0.54928544 0.74272985 0.44352518 0.66951143 0.42367731
#>  [55] 0.79984942 0.40394506 0.49323961 0.87906106 0.42367731 0.01158977
#>  [61] 0.13189844 0.59341861 0.77544392 0.86334508 0.92539797 0.83174167
#>  [67] 0.55867635 0.94043474 0.64441487 0.88693997 0.10493221 0.18295936
#>  [73] 0.05227436 0.71834007 0.62763711 0.36411119 0.53987229 0.91018157
#>  [79] 0.78357283 0.25442256 0.30362686 0.75911929 0.33427811 0.94043474
#>  [85] 0.48319981 0.68588614 0.94043474 0.69404185 0.96285753 0.33427811
#>  [91] 0.06815910 0.11853997 0.66951143 0.25442256 0.69404185 0.15778633
#>  [97] 0.52115714 0.88693997 0.40394506 0.79170842 0.71834007 0.25442256
#> [103] 0.25442256 0.84750414 0.21988314 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   113   159   105    77    40   106   101   192   180   136   164    36   139 
#> 22.86 10.55 19.75  7.27 18.00 16.67  9.97 16.44 14.82 21.83 23.60 21.19 21.49 
#>    79     8   107    24 106.1   110    81   187    52    85 164.1    68  77.1 
#> 16.23 18.43 11.18 23.89 16.67 17.56 14.06  9.92 10.42 16.44 23.60 20.62  7.27 
#>  40.1    13    78   153   170 136.1   183    25    43   157   8.1    15  25.1 
#> 18.00 14.34 23.88 21.33 19.54 21.83  9.24  6.32 12.10 15.10 18.43 22.68  6.32 
#>     5    39    32    26 106.2   108    37 170.1    90    93    45    96   8.2 
#> 16.43 15.59 20.90 15.77 16.67 18.29 12.52 19.54 20.94 10.33 17.42 14.54 18.43 
#>    29   179  37.1    58  40.2    61 179.1  24.1 113.1 192.1    60  93.1 183.1 
#> 15.45 18.63 12.52 19.34 18.00 10.12 18.63 23.89 22.86 16.44 13.15 10.33  9.24 
#> 159.1 106.3    16  26.1   145    69   175    86 180.1  79.1   158   111 187.1 
#> 10.55 16.67  8.71 15.77 10.07 23.23 21.91 23.81 14.82 16.23 20.14 17.45  9.92 
#>   155  36.1  90.1  81.1  68.1  16.1    51    18  16.2 157.1  77.2  68.2 164.2 
#> 13.08 21.19 20.94 14.06 20.62  8.71 18.23 15.21  8.71 15.10  7.27 20.62 23.60 
#>    92  29.1  36.2 157.2    63 110.1 145.1    55    14 180.2    99  36.3    10 
#> 22.92 15.45 21.19 15.10 22.77 17.56 10.07 19.34 12.89 14.82 21.19 21.19 10.53 
#>   197   131 131.1   198    28   122    98   118   121   147    44    22    21 
#> 21.60 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31  44.1   116    95   148   193   191    53    27 148.1     7    62   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112   103   152   156  62.1 118.1    82    33   104    94 112.1 112.2   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    17 103.1    38 131.2   146 121.1 147.1    65    75  62.2   143  31.1    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.1    74   186 198.1  44.2  98.1  17.1 156.1 148.2 118.2 198.2 174.1  95.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182   173 191.1     1  75.1   185    83 131.3   1.1    34   135 121.2 198.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    35   132 198.4 198.5 148.3 198.6   7.1     9   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[48]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00149473                0.42337763                0.53523719 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.644886400             0.008025187             0.445925407 
#>   grade_iii, Cure model 
#>             1.008826057 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 23    16.92      1  61        0         0
#> 78    23.88      1  43        0         0
#> 107   11.18      1  54        1         0
#> 197   21.60      1  69        1         0
#> 69    23.23      1  25        0         1
#> 188   16.16      1  46        0         1
#> 107.1 11.18      1  54        1         0
#> 63    22.77      1  31        1         0
#> 168   23.72      1  70        0         0
#> 125   15.65      1  67        1         0
#> 117   17.46      1  26        0         1
#> 93    10.33      1  52        0         1
#> 57    14.46      1  45        0         1
#> 183    9.24      1  67        1         0
#> 149    8.37      1  33        1         0
#> 85    16.44      1  36        0         0
#> 37    12.52      1  57        1         0
#> 129   23.41      1  53        1         0
#> 169   22.41      1  46        0         0
#> 97    19.14      1  65        0         1
#> 188.1 16.16      1  46        0         1
#> 111   17.45      1  47        0         1
#> 91     5.33      1  61        0         1
#> 114   13.68      1  NA        0         0
#> 128   20.35      1  35        0         1
#> 66    22.13      1  53        0         0
#> 170   19.54      1  43        0         1
#> 70     7.38      1  30        1         0
#> 153   21.33      1  55        1         0
#> 155   13.08      1  26        0         0
#> 194   22.40      1  38        0         1
#> 86    23.81      1  58        0         1
#> 45    17.42      1  54        0         1
#> 153.1 21.33      1  55        1         0
#> 129.1 23.41      1  53        1         0
#> 194.1 22.40      1  38        0         1
#> 63.1  22.77      1  31        1         0
#> 149.1  8.37      1  33        1         0
#> 140   12.68      1  59        1         0
#> 45.1  17.42      1  54        0         1
#> 107.2 11.18      1  54        1         0
#> 8     18.43      1  32        0         0
#> 32    20.90      1  37        1         0
#> 51    18.23      1  83        0         1
#> 187    9.92      1  39        1         0
#> 97.1  19.14      1  65        0         1
#> 16     8.71      1  71        0         1
#> 123   13.00      1  44        1         0
#> 39    15.59      1  37        0         1
#> 134   17.81      1  47        1         0
#> 59    10.16      1  NA        1         0
#> 179   18.63      1  42        0         0
#> 187.1  9.92      1  39        1         0
#> 175   21.91      1  43        0         0
#> 199   19.81      1  NA        0         1
#> 26    15.77      1  49        0         1
#> 59.1  10.16      1  NA        1         0
#> 105   19.75      1  60        0         0
#> 195   11.76      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 166   19.98      1  48        0         0
#> 57.1  14.46      1  45        0         1
#> 58    19.34      1  39        0         0
#> 170.1 19.54      1  43        0         1
#> 66.1  22.13      1  53        0         0
#> 78.1  23.88      1  43        0         0
#> 96    14.54      1  33        0         1
#> 16.1   8.71      1  71        0         1
#> 92    22.92      1  47        0         1
#> 49    12.19      1  48        1         0
#> 77     7.27      1  67        0         1
#> 6     15.64      1  39        0         0
#> 101    9.97      1  10        0         1
#> 110   17.56      1  65        0         1
#> 37.1  12.52      1  57        1         0
#> 139   21.49      1  63        1         0
#> 188.2 16.16      1  46        0         1
#> 117.1 17.46      1  26        0         1
#> 97.2  19.14      1  65        0         1
#> 8.1   18.43      1  32        0         0
#> 190   20.81      1  42        1         0
#> 190.1 20.81      1  42        1         0
#> 114.1 13.68      1  NA        0         0
#> 68    20.62      1  44        0         0
#> 140.1 12.68      1  59        1         0
#> 129.2 23.41      1  53        1         0
#> 110.1 17.56      1  65        0         1
#> 96.1  14.54      1  33        0         1
#> 78.2  23.88      1  43        0         0
#> 81    14.06      1  34        0         0
#> 184   17.77      1  38        0         0
#> 197.1 21.60      1  69        1         0
#> 139.1 21.49      1  63        1         0
#> 101.1  9.97      1  10        0         1
#> 124    9.73      1  NA        1         0
#> 155.1 13.08      1  26        0         0
#> 88    18.37      1  47        0         0
#> 89    11.44      1  NA        0         0
#> 157   15.10      1  47        0         0
#> 76    19.22      1  54        0         1
#> 127    3.53      1  62        0         1
#> 177   12.53      1  75        0         0
#> 139.2 21.49      1  63        1         0
#> 85.1  16.44      1  36        0         0
#> 37.2  12.52      1  57        1         0
#> 111.1 17.45      1  47        0         1
#> 51.1  18.23      1  83        0         1
#> 192   16.44      1  31        1         0
#> 37.3  12.52      1  57        1         0
#> 149.2  8.37      1  33        1         0
#> 90    20.94      1  50        0         1
#> 30.1  17.43      1  78        0         0
#> 173   24.00      0  19        0         1
#> 72    24.00      0  40        0         1
#> 75    24.00      0  21        1         0
#> 9     24.00      0  31        1         0
#> 173.1 24.00      0  19        0         1
#> 198   24.00      0  66        0         1
#> 156   24.00      0  50        1         0
#> 12    24.00      0  63        0         0
#> 73    24.00      0  NA        0         1
#> 12.1  24.00      0  63        0         0
#> 143   24.00      0  51        0         0
#> 115   24.00      0  NA        1         0
#> 185   24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 31    24.00      0  36        0         1
#> 174   24.00      0  49        1         0
#> 46    24.00      0  71        0         0
#> 193   24.00      0  45        0         1
#> 7.1   24.00      0  37        1         0
#> 112   24.00      0  61        0         0
#> 38    24.00      0  31        1         0
#> 163   24.00      0  66        0         0
#> 162   24.00      0  51        0         0
#> 80    24.00      0  41        0         0
#> 48    24.00      0  31        1         0
#> 146   24.00      0  63        1         0
#> 185.1 24.00      0  44        1         0
#> 137   24.00      0  45        1         0
#> 116   24.00      0  58        0         1
#> 9.1   24.00      0  31        1         0
#> 38.1  24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 178   24.00      0  52        1         0
#> 87    24.00      0  27        0         0
#> 185.2 24.00      0  44        1         0
#> 12.2  24.00      0  63        0         0
#> 19.1  24.00      0  57        0         1
#> 28    24.00      0  67        1         0
#> 176   24.00      0  43        0         1
#> 115.1 24.00      0  NA        1         0
#> 142   24.00      0  53        0         0
#> 143.1 24.00      0  51        0         0
#> 65    24.00      0  57        1         0
#> 162.1 24.00      0  51        0         0
#> 119   24.00      0  17        0         0
#> 67    24.00      0  25        0         0
#> 62    24.00      0  71        0         0
#> 104   24.00      0  50        1         0
#> 46.1  24.00      0  71        0         0
#> 165   24.00      0  47        0         0
#> 176.1 24.00      0  43        0         1
#> 22    24.00      0  52        1         0
#> 131   24.00      0  66        0         0
#> 198.1 24.00      0  66        0         1
#> 142.1 24.00      0  53        0         0
#> 112.1 24.00      0  61        0         0
#> 178.1 24.00      0  52        1         0
#> 132   24.00      0  55        0         0
#> 46.2  24.00      0  71        0         0
#> 178.2 24.00      0  52        1         0
#> 34    24.00      0  36        0         0
#> 172   24.00      0  41        0         0
#> 173.2 24.00      0  19        0         1
#> 31.1  24.00      0  36        0         1
#> 191   24.00      0  60        0         1
#> 182   24.00      0  35        0         0
#> 98    24.00      0  34        1         0
#> 31.2  24.00      0  36        0         1
#> 198.2 24.00      0  66        0         1
#> 22.1  24.00      0  52        1         0
#> 143.2 24.00      0  51        0         0
#> 98.1  24.00      0  34        1         0
#> 65.1  24.00      0  57        1         0
#> 54    24.00      0  53        1         0
#> 62.1  24.00      0  71        0         0
#> 152   24.00      0  36        0         1
#> 109   24.00      0  48        0         0
#> 2     24.00      0   9        0         0
#> 21    24.00      0  47        0         0
#> 116.1 24.00      0  58        0         1
#> 104.1 24.00      0  50        1         0
#> 122   24.00      0  66        0         0
#> 54.1  24.00      0  53        1         0
#> 182.1 24.00      0  35        0         0
#> 162.2 24.00      0  51        0         0
#> 132.1 24.00      0  55        0         0
#> 7.2   24.00      0  37        1         0
#> 67.1  24.00      0  25        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.645          NA        NA      NA
#> 2 age, Cure model          0.00803        NA        NA      NA
#> 3 grade_ii, Cure model     0.446          NA        NA      NA
#> 4 grade_iii, Cure model    1.01           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00149        NA        NA      NA
#> 2 grade_ii, Survival model   0.423          NA        NA      NA
#> 3 grade_iii, Survival model  0.535          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.644886          0.008025          0.445925          1.008826  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.1 
#> Residual Deviance: 252.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.644886400      0.008025187      0.445925407      1.008826057 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00149473       0.42337763       0.53523719 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.64758459 0.02477172 0.86895431 0.27112085 0.14978657 0.68075103
#>   [7] 0.86895431 0.17719860 0.09041723 0.71311392 0.57994217 0.89135084
#>  [13] 0.76114891 0.92824841 0.95006648 0.65598413 0.83118747 0.10927103
#>  [19] 0.20132903 0.46309217 0.68075103 0.59710687 0.98580259 0.39557918
#>  [25] 0.23652694 0.42507491 0.97149080 0.32472533 0.78457840 0.21383080
#>  [31] 0.07195828 0.63091318 0.32472533 0.10927103 0.21383080 0.17719860
#>  [37] 0.95006648 0.80800058 0.63091318 0.86895431 0.49921666 0.35576621
#>  [43] 0.52660250 0.91359786 0.46309217 0.93558065 0.80018950 0.72928897
#>  [49] 0.54450767 0.49005021 0.91359786 0.25939175 0.70499384 0.41522416
#>  [55] 0.61398440 0.40539343 0.76114891 0.44402613 0.42507491 0.23652694
#>  [61] 0.02477172 0.74536529 0.93558065 0.16383124 0.86134286 0.97866096
#>  [67] 0.72119888 0.89884305 0.56244466 0.83118747 0.29336247 0.68075103
#>  [73] 0.57994217 0.46309217 0.49921666 0.36596552 0.36596552 0.38561143
#>  [79] 0.80800058 0.10927103 0.56244466 0.74536529 0.02477172 0.77673962
#>  [85] 0.55347215 0.27112085 0.29336247 0.89884305 0.78457840 0.51741223
#>  [91] 0.73732416 0.45361678 0.99291542 0.82342902 0.29336247 0.65598413
#>  [97] 0.83118747 0.59710687 0.52660250 0.65598413 0.83118747 0.95006648
#> [103] 0.34543515 0.61398440 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    23    78   107   197    69   188 107.1    63   168   125   117    93    57 
#> 16.92 23.88 11.18 21.60 23.23 16.16 11.18 22.77 23.72 15.65 17.46 10.33 14.46 
#>   183   149    85    37   129   169    97 188.1   111    91   128    66   170 
#>  9.24  8.37 16.44 12.52 23.41 22.41 19.14 16.16 17.45  5.33 20.35 22.13 19.54 
#>    70   153   155   194    86    45 153.1 129.1 194.1  63.1 149.1   140  45.1 
#>  7.38 21.33 13.08 22.40 23.81 17.42 21.33 23.41 22.40 22.77  8.37 12.68 17.42 
#> 107.2     8    32    51   187  97.1    16   123    39   134   179 187.1   175 
#> 11.18 18.43 20.90 18.23  9.92 19.14  8.71 13.00 15.59 17.81 18.63  9.92 21.91 
#>    26   105    30   166  57.1    58 170.1  66.1  78.1    96  16.1    92    49 
#> 15.77 19.75 17.43 19.98 14.46 19.34 19.54 22.13 23.88 14.54  8.71 22.92 12.19 
#>    77     6   101   110  37.1   139 188.2 117.1  97.2   8.1   190 190.1    68 
#>  7.27 15.64  9.97 17.56 12.52 21.49 16.16 17.46 19.14 18.43 20.81 20.81 20.62 
#> 140.1 129.2 110.1  96.1  78.2    81   184 197.1 139.1 101.1 155.1    88   157 
#> 12.68 23.41 17.56 14.54 23.88 14.06 17.77 21.60 21.49  9.97 13.08 18.37 15.10 
#>    76   127   177 139.2  85.1  37.2 111.1  51.1   192  37.3 149.2    90  30.1 
#> 19.22  3.53 12.53 21.49 16.44 12.52 17.45 18.23 16.44 12.52  8.37 20.94 17.43 
#>   173    72    75     9 173.1   198   156    12  12.1   143   185     7    31 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174    46   193   7.1   112    38   163   162    80    48   146 185.1   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116   9.1  38.1    19   178    87 185.2  12.2  19.1    28   176   142 143.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    65 162.1   119    67    62   104  46.1   165 176.1    22   131 198.1 142.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 112.1 178.1   132  46.2 178.2    34   172 173.2  31.1   191   182    98  31.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 198.2  22.1 143.2  98.1  65.1    54  62.1   152   109     2    21 116.1 104.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122  54.1 182.1 162.2 132.1   7.2  67.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[49]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.006730044               0.524498356               0.313073212 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.339251827             0.007880567             0.072974942 
#>   grade_iii, Cure model 
#>             0.479676130 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 111   17.45      1  47        0         1
#> 139   21.49      1  63        1         0
#> 133   14.65      1  57        0         0
#> 29    15.45      1  68        1         0
#> 23    16.92      1  61        0         0
#> 177   12.53      1  75        0         0
#> 140   12.68      1  59        1         0
#> 86    23.81      1  58        0         1
#> 39    15.59      1  37        0         1
#> 107   11.18      1  54        1         0
#> 130   16.47      1  53        0         1
#> 23.1  16.92      1  61        0         0
#> 107.1 11.18      1  54        1         0
#> 168   23.72      1  70        0         0
#> 188   16.16      1  46        0         1
#> 39.1  15.59      1  37        0         1
#> 40    18.00      1  28        1         0
#> 76    19.22      1  54        0         1
#> 154   12.63      1  20        1         0
#> 70     7.38      1  30        1         0
#> 180   14.82      1  37        0         0
#> 136   21.83      1  43        0         1
#> 59    10.16      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 175   21.91      1  43        0         0
#> 180.1 14.82      1  37        0         0
#> 96    14.54      1  33        0         1
#> 69    23.23      1  25        0         1
#> 175.1 21.91      1  43        0         0
#> 181   16.46      1  45        0         1
#> 63    22.77      1  31        1         0
#> 26    15.77      1  49        0         1
#> 140.1 12.68      1  59        1         0
#> 181.1 16.46      1  45        0         1
#> 85    16.44      1  36        0         0
#> 199   19.81      1  NA        0         1
#> 106   16.67      1  49        1         0
#> 59.1  10.16      1  NA        1         0
#> 114   13.68      1  NA        0         0
#> 168.1 23.72      1  70        0         0
#> 66    22.13      1  53        0         0
#> 110   17.56      1  65        0         1
#> 150   20.33      1  48        0         0
#> 8     18.43      1  32        0         0
#> 96.1  14.54      1  33        0         1
#> 8.1   18.43      1  32        0         0
#> 13    14.34      1  54        0         1
#> 77     7.27      1  67        0         1
#> 168.2 23.72      1  70        0         0
#> 8.2   18.43      1  32        0         0
#> 4     17.64      1  NA        0         1
#> 25     6.32      1  34        1         0
#> 158   20.14      1  74        1         0
#> 171   16.57      1  41        0         1
#> 93    10.33      1  52        0         1
#> 134   17.81      1  47        1         0
#> 41    18.02      1  40        1         0
#> 70.1   7.38      1  30        1         0
#> 69.1  23.23      1  25        0         1
#> 24    23.89      1  38        0         0
#> 25.1   6.32      1  34        1         0
#> 153   21.33      1  55        1         0
#> 184   17.77      1  38        0         0
#> 114.1 13.68      1  NA        0         0
#> 183    9.24      1  67        1         0
#> 86.1  23.81      1  58        0         1
#> 97    19.14      1  65        0         1
#> 37    12.52      1  57        1         0
#> 155   13.08      1  26        0         0
#> 85.1  16.44      1  36        0         0
#> 125   15.65      1  67        1         0
#> 10    10.53      1  34        0         0
#> 195   11.76      1  NA        1         0
#> 177.1 12.53      1  75        0         0
#> 66.1  22.13      1  53        0         0
#> 93.1  10.33      1  52        0         1
#> 66.2  22.13      1  53        0         0
#> 190   20.81      1  42        1         0
#> 129   23.41      1  53        1         0
#> 134.1 17.81      1  47        1         0
#> 155.1 13.08      1  26        0         0
#> 91     5.33      1  61        0         1
#> 86.2  23.81      1  58        0         1
#> 45    17.42      1  54        0         1
#> 6     15.64      1  39        0         0
#> 55    19.34      1  69        0         1
#> 199.1 19.81      1  NA        0         1
#> 92    22.92      1  47        0         1
#> 90    20.94      1  50        0         1
#> 184.1 17.77      1  38        0         0
#> 106.1 16.67      1  49        1         0
#> 93.2  10.33      1  52        0         1
#> 40.1  18.00      1  28        1         0
#> 39.2  15.59      1  37        0         1
#> 4.1   17.64      1  NA        0         1
#> 24.1  23.89      1  38        0         0
#> 66.3  22.13      1  53        0         0
#> 14    12.89      1  21        0         0
#> 129.1 23.41      1  53        1         0
#> 16     8.71      1  71        0         1
#> 108   18.29      1  39        0         1
#> 180.2 14.82      1  37        0         0
#> 77.1   7.27      1  67        0         1
#> 13.1  14.34      1  54        0         1
#> 96.2  14.54      1  33        0         1
#> 153.1 21.33      1  55        1         0
#> 175.2 21.91      1  43        0         0
#> 79    16.23      1  54        1         0
#> 41.1  18.02      1  40        1         0
#> 187    9.92      1  39        1         0
#> 58    19.34      1  39        0         0
#> 55.1  19.34      1  69        0         1
#> 17    24.00      0  38        0         1
#> 74    24.00      0  43        0         1
#> 20    24.00      0  46        1         0
#> 95    24.00      0  68        0         1
#> 116   24.00      0  58        0         1
#> 3     24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 126   24.00      0  48        0         0
#> 182   24.00      0  35        0         0
#> 109   24.00      0  48        0         0
#> 160   24.00      0  31        1         0
#> 62    24.00      0  71        0         0
#> 200   24.00      0  64        0         0
#> 47    24.00      0  38        0         1
#> 83    24.00      0   6        0         0
#> 112   24.00      0  61        0         0
#> 80    24.00      0  41        0         0
#> 112.1 24.00      0  61        0         0
#> 186   24.00      0  45        1         0
#> 73    24.00      0  NA        0         1
#> 87    24.00      0  27        0         0
#> 118   24.00      0  44        1         0
#> 38    24.00      0  31        1         0
#> 162   24.00      0  51        0         0
#> 146   24.00      0  63        1         0
#> 147   24.00      0  76        1         0
#> 44    24.00      0  56        0         0
#> 135   24.00      0  58        1         0
#> 160.1 24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 182.1 24.00      0  35        0         0
#> 109.1 24.00      0  48        0         0
#> 47.1  24.00      0  38        0         1
#> 143   24.00      0  51        0         0
#> 193   24.00      0  45        0         1
#> 138   24.00      0  44        1         0
#> 141   24.00      0  44        1         0
#> 103   24.00      0  56        1         0
#> 71    24.00      0  51        0         0
#> 112.2 24.00      0  61        0         0
#> 17.1  24.00      0  38        0         1
#> 173   24.00      0  19        0         1
#> 72    24.00      0  40        0         1
#> 53.1  24.00      0  32        0         1
#> 115   24.00      0  NA        1         0
#> 191   24.00      0  60        0         1
#> 120   24.00      0  68        0         1
#> 196   24.00      0  19        0         0
#> 186.1 24.00      0  45        1         0
#> 20.1  24.00      0  46        1         0
#> 74.1  24.00      0  43        0         1
#> 102   24.00      0  49        0         0
#> 165   24.00      0  47        0         0
#> 196.1 24.00      0  19        0         0
#> 138.1 24.00      0  44        1         0
#> 46    24.00      0  71        0         0
#> 2     24.00      0   9        0         0
#> 131   24.00      0  66        0         0
#> 178   24.00      0  52        1         0
#> 102.1 24.00      0  49        0         0
#> 116.1 24.00      0  58        0         1
#> 115.1 24.00      0  NA        1         0
#> 12    24.00      0  63        0         0
#> 74.2  24.00      0  43        0         1
#> 19    24.00      0  57        0         1
#> 47.2  24.00      0  38        0         1
#> 141.1 24.00      0  44        1         0
#> 138.2 24.00      0  44        1         0
#> 17.2  24.00      0  38        0         1
#> 172   24.00      0  41        0         0
#> 44.1  24.00      0  56        0         0
#> 33    24.00      0  53        0         0
#> 75    24.00      0  21        1         0
#> 34    24.00      0  36        0         0
#> 147.1 24.00      0  76        1         0
#> 28    24.00      0  67        1         0
#> 115.2 24.00      0  NA        1         0
#> 148   24.00      0  61        1         0
#> 62.1  24.00      0  71        0         0
#> 48    24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 94    24.00      0  51        0         1
#> 126.1 24.00      0  48        0         0
#> 38.1  24.00      0  31        1         0
#> 191.1 24.00      0  60        0         1
#> 200.1 24.00      0  64        0         0
#> 87.1  24.00      0  27        0         0
#> 103.1 24.00      0  56        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.339          NA        NA      NA
#> 2 age, Cure model          0.00788        NA        NA      NA
#> 3 grade_ii, Cure model     0.0730         NA        NA      NA
#> 4 grade_iii, Cure model    0.480          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00673        NA        NA      NA
#> 2 grade_ii, Survival model   0.524          NA        NA      NA
#> 3 grade_iii, Survival model  0.313          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.339252          0.007881          0.072975          0.479676  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.3 
#> Residual Deviance: 254.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.339251827      0.007880567      0.072974942      0.479676130 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.006730044      0.524498356      0.313073212 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.443339911 0.199084132 0.690514250 0.650907500 0.472870773 0.810398322
#>   [7] 0.780383925 0.021626298 0.621508381 0.840569976 0.522276673 0.472870773
#>  [13] 0.840569976 0.043269786 0.581638215 0.621508381 0.375868651 0.296357598
#>  [19] 0.800391326 0.930616137 0.660848058 0.189038625 0.453122068 0.160441092
#>  [25] 0.660848058 0.700594747 0.088674822 0.160441092 0.532203014 0.115943435
#>  [31] 0.591600578 0.780383925 0.532203014 0.551863175 0.492699556 0.043269786
#>  [37] 0.125036943 0.433558460 0.247827485 0.316354805 0.700594747 0.316354805
#>  [43] 0.730283086 0.950444734 0.043269786 0.316354805 0.970326754 0.257649809
#>  [49] 0.512358384 0.870603711 0.395175436 0.356157787 0.930616137 0.088674822
#>  [55] 0.005944646 0.970326754 0.209076447 0.414266575 0.910533516 0.021626298
#>  [61] 0.306337105 0.830484155 0.750238670 0.551863175 0.601565723 0.860537384
#>  [67] 0.810398322 0.125036943 0.870603711 0.125036943 0.238111501 0.070206377
#>  [73] 0.395175436 0.750238670 0.990069618 0.021626298 0.462991246 0.611518283
#>  [79] 0.267462143 0.106577608 0.228285900 0.414266575 0.492699556 0.870603711
#>  [85] 0.375868651 0.621508381 0.005944646 0.125036943 0.770279853 0.070206377
#>  [91] 0.920566507 0.345996357 0.660848058 0.950444734 0.730283086 0.700594747
#>  [97] 0.209076447 0.160441092 0.571675260 0.356157787 0.900492077 0.267462143
#> [103] 0.267462143 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>   111   139   133    29    23   177   140    86    39   107   130  23.1 107.1 
#> 17.45 21.49 14.65 15.45 16.92 12.53 12.68 23.81 15.59 11.18 16.47 16.92 11.18 
#>   168   188  39.1    40    76   154    70   180   136    30   175 180.1    96 
#> 23.72 16.16 15.59 18.00 19.22 12.63  7.38 14.82 21.83 17.43 21.91 14.82 14.54 
#>    69 175.1   181    63    26 140.1 181.1    85   106 168.1    66   110   150 
#> 23.23 21.91 16.46 22.77 15.77 12.68 16.46 16.44 16.67 23.72 22.13 17.56 20.33 
#>     8  96.1   8.1    13    77 168.2   8.2    25   158   171    93   134    41 
#> 18.43 14.54 18.43 14.34  7.27 23.72 18.43  6.32 20.14 16.57 10.33 17.81 18.02 
#>  70.1  69.1    24  25.1   153   184   183  86.1    97    37   155  85.1   125 
#>  7.38 23.23 23.89  6.32 21.33 17.77  9.24 23.81 19.14 12.52 13.08 16.44 15.65 
#>    10 177.1  66.1  93.1  66.2   190   129 134.1 155.1    91  86.2    45     6 
#> 10.53 12.53 22.13 10.33 22.13 20.81 23.41 17.81 13.08  5.33 23.81 17.42 15.64 
#>    55    92    90 184.1 106.1  93.2  40.1  39.2  24.1  66.3    14 129.1    16 
#> 19.34 22.92 20.94 17.77 16.67 10.33 18.00 15.59 23.89 22.13 12.89 23.41  8.71 
#>   108 180.2  77.1  13.1  96.2 153.1 175.2    79  41.1   187    58  55.1    17 
#> 18.29 14.82  7.27 14.34 14.54 21.33 21.91 16.23 18.02  9.92 19.34 19.34 24.00 
#>    74    20    95   116     3    53   126   182   109   160    62   200    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83   112    80 112.1   186    87   118    38   162   146   147    44   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 160.1     1 182.1 109.1  47.1   143   193   138   141   103    71 112.2  17.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   173    72  53.1   191   120   196 186.1  20.1  74.1   102   165 196.1 138.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    46     2   131   178 102.1 116.1    12  74.2    19  47.2 141.1 138.2  17.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   172  44.1    33    75    34 147.1    28   148  62.1    48     7    94 126.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  38.1 191.1 200.1  87.1 103.1 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[50]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003835261               0.456755654               0.374541251 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.63924629              0.01386856             -0.18979675 
#>   grade_iii, Cure model 
#>              0.76021312 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 154   12.63      1  20        1         0
#> 164   23.60      1  76        0         1
#> 181   16.46      1  45        0         1
#> 108   18.29      1  39        0         1
#> 24    23.89      1  38        0         0
#> 23    16.92      1  61        0         0
#> 68    20.62      1  44        0         0
#> 6     15.64      1  39        0         0
#> 39    15.59      1  37        0         1
#> 164.1 23.60      1  76        0         1
#> 69    23.23      1  25        0         1
#> 60    13.15      1  38        1         0
#> 192   16.44      1  31        1         0
#> 184   17.77      1  38        0         0
#> 125   15.65      1  67        1         0
#> 16     8.71      1  71        0         1
#> 129   23.41      1  53        1         0
#> 26    15.77      1  49        0         1
#> 117   17.46      1  26        0         1
#> 52    10.42      1  52        0         1
#> 157   15.10      1  47        0         0
#> 197   21.60      1  69        1         0
#> 57    14.46      1  45        0         1
#> 117.1 17.46      1  26        0         1
#> 181.1 16.46      1  45        0         1
#> 128   20.35      1  35        0         1
#> 188   16.16      1  46        0         1
#> 6.1   15.64      1  39        0         0
#> 167   15.55      1  56        1         0
#> 127    3.53      1  62        0         1
#> 183    9.24      1  67        1         0
#> 167.1 15.55      1  56        1         0
#> 123   13.00      1  44        1         0
#> 39.1  15.59      1  37        0         1
#> 39.2  15.59      1  37        0         1
#> 111   17.45      1  47        0         1
#> 6.2   15.64      1  39        0         0
#> 25     6.32      1  34        1         0
#> 117.2 17.46      1  26        0         1
#> 91     5.33      1  61        0         1
#> 136   21.83      1  43        0         1
#> 166   19.98      1  48        0         0
#> 14    12.89      1  21        0         0
#> 93    10.33      1  52        0         1
#> 177   12.53      1  75        0         0
#> 175   21.91      1  43        0         0
#> 77     7.27      1  67        0         1
#> 60.1  13.15      1  38        1         0
#> 30    17.43      1  78        0         0
#> 140   12.68      1  59        1         0
#> 129.1 23.41      1  53        1         0
#> 10    10.53      1  34        0         0
#> 133   14.65      1  57        0         0
#> 6.3   15.64      1  39        0         0
#> 110   17.56      1  65        0         1
#> 85    16.44      1  36        0         0
#> 111.1 17.45      1  47        0         1
#> 139   21.49      1  63        1         0
#> 189   10.51      1  NA        1         0
#> 96    14.54      1  33        0         1
#> 139.1 21.49      1  63        1         0
#> 36    21.19      1  48        0         1
#> 171   16.57      1  41        0         1
#> 42    12.43      1  49        0         1
#> 189.1 10.51      1  NA        1         0
#> 183.1  9.24      1  67        1         0
#> 8     18.43      1  32        0         0
#> 52.1  10.42      1  52        0         1
#> 164.2 23.60      1  76        0         1
#> 150   20.33      1  48        0         0
#> 58    19.34      1  39        0         0
#> 157.1 15.10      1  47        0         0
#> 63    22.77      1  31        1         0
#> 139.2 21.49      1  63        1         0
#> 18    15.21      1  49        1         0
#> 66    22.13      1  53        0         0
#> 18.1  15.21      1  49        1         0
#> 16.1   8.71      1  71        0         1
#> 197.1 21.60      1  69        1         0
#> 168   23.72      1  70        0         0
#> 16.2   8.71      1  71        0         1
#> 179   18.63      1  42        0         0
#> 30.1  17.43      1  78        0         0
#> 15    22.68      1  48        0         0
#> 25.1   6.32      1  34        1         0
#> 93.1  10.33      1  52        0         1
#> 5     16.43      1  51        0         1
#> 125.1 15.65      1  67        1         0
#> 30.2  17.43      1  78        0         0
#> 58.1  19.34      1  39        0         0
#> 100   16.07      1  60        0         0
#> 170   19.54      1  43        0         1
#> 50    10.02      1  NA        1         0
#> 133.1 14.65      1  57        0         0
#> 183.2  9.24      1  67        1         0
#> 24.1  23.89      1  38        0         0
#> 181.2 16.46      1  45        0         1
#> 106   16.67      1  49        1         0
#> 108.1 18.29      1  39        0         1
#> 154.1 12.63      1  20        1         0
#> 10.1  10.53      1  34        0         0
#> 166.1 19.98      1  48        0         0
#> 167.2 15.55      1  56        1         0
#> 136.1 21.83      1  43        0         1
#> 133.2 14.65      1  57        0         0
#> 133.3 14.65      1  57        0         0
#> 159   10.55      1  50        0         1
#> 199   19.81      1  NA        0         1
#> 43    12.10      1  61        0         1
#> 188.1 16.16      1  46        0         1
#> 78    23.88      1  43        0         0
#> 97    19.14      1  65        0         1
#> 138   24.00      0  44        1         0
#> 196   24.00      0  19        0         0
#> 126   24.00      0  48        0         0
#> 173   24.00      0  19        0         1
#> 44    24.00      0  56        0         0
#> 163   24.00      0  66        0         0
#> 178   24.00      0  52        1         0
#> 122   24.00      0  66        0         0
#> 163.1 24.00      0  66        0         0
#> 191   24.00      0  60        0         1
#> 75    24.00      0  21        1         0
#> 148   24.00      0  61        1         0
#> 75.1  24.00      0  21        1         0
#> 33    24.00      0  53        0         0
#> 172   24.00      0  41        0         0
#> 174   24.00      0  49        1         0
#> 87    24.00      0  27        0         0
#> 95    24.00      0  68        0         1
#> 135   24.00      0  58        1         0
#> 163.2 24.00      0  66        0         0
#> 173.1 24.00      0  19        0         1
#> 142   24.00      0  53        0         0
#> 138.1 24.00      0  44        1         0
#> 67    24.00      0  25        0         0
#> 22    24.00      0  52        1         0
#> 72    24.00      0  40        0         1
#> 87.1  24.00      0  27        0         0
#> 141   24.00      0  44        1         0
#> 160   24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 48    24.00      0  31        1         0
#> 95.1  24.00      0  68        0         1
#> 62    24.00      0  71        0         0
#> 67.1  24.00      0  25        0         0
#> 120   24.00      0  68        0         1
#> 198   24.00      0  66        0         1
#> 75.2  24.00      0  21        1         0
#> 116   24.00      0  58        0         1
#> 3     24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 3.1   24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 193   24.00      0  45        0         1
#> 178.1 24.00      0  52        1         0
#> 200   24.00      0  64        0         0
#> 109   24.00      0  48        0         0
#> 72.1  24.00      0  40        0         1
#> 162   24.00      0  51        0         0
#> 47    24.00      0  38        0         1
#> 193.1 24.00      0  45        0         1
#> 2     24.00      0   9        0         0
#> 198.1 24.00      0  66        0         1
#> 104   24.00      0  50        1         0
#> 103   24.00      0  56        1         0
#> 182   24.00      0  35        0         0
#> 196.1 24.00      0  19        0         0
#> 82    24.00      0  34        0         0
#> 132   24.00      0  55        0         0
#> 98    24.00      0  34        1         0
#> 148.1 24.00      0  61        1         0
#> 28.1  24.00      0  67        1         0
#> 33.1  24.00      0  53        0         0
#> 156   24.00      0  50        1         0
#> 178.2 24.00      0  52        1         0
#> 185   24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 9     24.00      0  31        1         0
#> 185.1 24.00      0  44        1         0
#> 143   24.00      0  51        0         0
#> 132.1 24.00      0  55        0         0
#> 9.1   24.00      0  31        1         0
#> 185.2 24.00      0  44        1         0
#> 185.3 24.00      0  44        1         0
#> 132.2 24.00      0  55        0         0
#> 131   24.00      0  66        0         0
#> 172.1 24.00      0  41        0         0
#> 122.1 24.00      0  66        0         0
#> 116.1 24.00      0  58        0         1
#> 143.1 24.00      0  51        0         0
#> 165   24.00      0  47        0         0
#> 163.3 24.00      0  66        0         0
#> 27    24.00      0  63        1         0
#> 104.1 24.00      0  50        1         0
#> 72.2  24.00      0  40        0         1
#> 126.1 24.00      0  48        0         0
#> 31.1  24.00      0  36        0         1
#> 54    24.00      0  53        1         0
#> 72.3  24.00      0  40        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.639         NA        NA      NA
#> 2 age, Cure model           0.0139        NA        NA      NA
#> 3 grade_ii, Cure model     -0.190         NA        NA      NA
#> 4 grade_iii, Cure model     0.760         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00384        NA        NA      NA
#> 2 grade_ii, Survival model   0.457          NA        NA      NA
#> 3 grade_iii, Survival model  0.375          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.63925           0.01387          -0.18980           0.76021  
#> 
#> Degrees of Freedom: 195 Total (i.e. Null);  192 Residual
#> Null Deviance:	    269.7 
#> Residual Deviance: 260.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.63924629       0.01386856      -0.18979675       0.76021312 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003835261      0.456755654      0.374541251 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.805596393 0.054270204 0.479485931 0.340525816 0.008582324 0.451461882
#>   [7] 0.235425389 0.587343896 0.622627788 0.054270204 0.106309443 0.762206850
#>  [13] 0.506481061 0.359356434 0.569579593 0.933155784 0.085493873 0.560564436
#>  [19] 0.378476380 0.874064692 0.692412341 0.178754616 0.753413535 0.378476380
#>  [25] 0.479485931 0.245009044 0.533637575 0.587343896 0.648987380 0.991656799
#>  [31] 0.908013993 0.648987380 0.779546941 0.622627788 0.622627788 0.405755669
#>  [37] 0.587343896 0.966645996 0.378476380 0.983303299 0.158763613 0.264034776
#>  [43] 0.788233319 0.891070278 0.822672667 0.148110555 0.958224912 0.762206850
#>  [49] 0.423975014 0.796927112 0.085493873 0.856995563 0.709839482 0.587343896
#>  [55] 0.368932926 0.506481061 0.405755669 0.198285664 0.744597194 0.198285664
#>  [61] 0.225901979 0.470193998 0.831278020 0.908013993 0.330839713 0.874064692
#>  [67] 0.054270204 0.254491998 0.292574423 0.692412341 0.116932506 0.198285664
#>  [73] 0.675057269 0.137573002 0.675057269 0.933155784 0.178754616 0.040233050
#>  [79] 0.933155784 0.321186270 0.423975014 0.127182162 0.966645996 0.891070278
#>  [85] 0.524553224 0.569579593 0.423975014 0.292574423 0.551519440 0.283002276
#>  [91] 0.709839482 0.908013993 0.008582324 0.479485931 0.460857290 0.340525816
#>  [97] 0.805596393 0.856995563 0.264034776 0.648987380 0.158763613 0.709839482
#> [103] 0.709839482 0.848439020 0.839865136 0.533637575 0.027292173 0.311575819
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   154   164   181   108    24    23    68     6    39 164.1    69    60   192 
#> 12.63 23.60 16.46 18.29 23.89 16.92 20.62 15.64 15.59 23.60 23.23 13.15 16.44 
#>   184   125    16   129    26   117    52   157   197    57 117.1 181.1   128 
#> 17.77 15.65  8.71 23.41 15.77 17.46 10.42 15.10 21.60 14.46 17.46 16.46 20.35 
#>   188   6.1   167   127   183 167.1   123  39.1  39.2   111   6.2    25 117.2 
#> 16.16 15.64 15.55  3.53  9.24 15.55 13.00 15.59 15.59 17.45 15.64  6.32 17.46 
#>    91   136   166    14    93   177   175    77  60.1    30   140 129.1    10 
#>  5.33 21.83 19.98 12.89 10.33 12.53 21.91  7.27 13.15 17.43 12.68 23.41 10.53 
#>   133   6.3   110    85 111.1   139    96 139.1    36   171    42 183.1     8 
#> 14.65 15.64 17.56 16.44 17.45 21.49 14.54 21.49 21.19 16.57 12.43  9.24 18.43 
#>  52.1 164.2   150    58 157.1    63 139.2    18    66  18.1  16.1 197.1   168 
#> 10.42 23.60 20.33 19.34 15.10 22.77 21.49 15.21 22.13 15.21  8.71 21.60 23.72 
#>  16.2   179  30.1    15  25.1  93.1     5 125.1  30.2  58.1   100   170 133.1 
#>  8.71 18.63 17.43 22.68  6.32 10.33 16.43 15.65 17.43 19.34 16.07 19.54 14.65 
#> 183.2  24.1 181.2   106 108.1 154.1  10.1 166.1 167.2 136.1 133.2 133.3   159 
#>  9.24 23.89 16.46 16.67 18.29 12.63 10.53 19.98 15.55 21.83 14.65 14.65 10.55 
#>    43 188.1    78    97   138   196   126   173    44   163   178   122 163.1 
#> 12.10 16.16 23.88 19.14 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   191    75   148  75.1    33   172   174    87    95   135 163.2 173.1   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 138.1    67    22    72  87.1   141   160    53    48  95.1    62  67.1   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198  75.2   116     3    71   3.1    28   193 178.1   200   109  72.1   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    47 193.1     2 198.1   104   103   182 196.1    82   132    98 148.1  28.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  33.1   156 178.2   185    31     9 185.1   143 132.1   9.1 185.2 185.3 132.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131 172.1 122.1 116.1 143.1   165 163.3    27 104.1  72.2 126.1  31.1    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.3 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[51]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01966676                0.88580834               -0.08474149 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.344895168             0.009397877            -0.205973821 
#>   grade_iii, Cure model 
#>             0.550003175 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 108   18.29      1  39        0         1
#> 164   23.60      1  76        0         1
#> 179   18.63      1  42        0         0
#> 68    20.62      1  44        0         0
#> 96    14.54      1  33        0         1
#> 25     6.32      1  34        1         0
#> 26    15.77      1  49        0         1
#> 15    22.68      1  48        0         0
#> 111   17.45      1  47        0         1
#> 6     15.64      1  39        0         0
#> 42    12.43      1  49        0         1
#> 164.1 23.60      1  76        0         1
#> 145   10.07      1  65        1         0
#> 25.1   6.32      1  34        1         0
#> 111.1 17.45      1  47        0         1
#> 114   13.68      1  NA        0         0
#> 168   23.72      1  70        0         0
#> 167   15.55      1  56        1         0
#> 58    19.34      1  39        0         0
#> 18    15.21      1  49        1         0
#> 105   19.75      1  60        0         0
#> 56    12.21      1  60        0         0
#> 175   21.91      1  43        0         0
#> 177   12.53      1  75        0         0
#> 189   10.51      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 155   13.08      1  26        0         0
#> 10    10.53      1  34        0         0
#> 101    9.97      1  10        0         1
#> 157   15.10      1  47        0         0
#> 60    13.15      1  38        1         0
#> 45    17.42      1  54        0         1
#> 184   17.77      1  38        0         0
#> 81    14.06      1  34        0         0
#> 168.1 23.72      1  70        0         0
#> 45.1  17.42      1  54        0         1
#> 70     7.38      1  30        1         0
#> 190   20.81      1  42        1         0
#> 58.1  19.34      1  39        0         0
#> 184.1 17.77      1  38        0         0
#> 60.1  13.15      1  38        1         0
#> 127    3.53      1  62        0         1
#> 77     7.27      1  67        0         1
#> 5     16.43      1  51        0         1
#> 70.1   7.38      1  30        1         0
#> 58.2  19.34      1  39        0         0
#> 97    19.14      1  65        0         1
#> 92    22.92      1  47        0         1
#> 149    8.37      1  33        1         0
#> 88    18.37      1  47        0         0
#> 37    12.52      1  57        1         0
#> 57    14.46      1  45        0         1
#> 187    9.92      1  39        1         0
#> 69    23.23      1  25        0         1
#> 183    9.24      1  67        1         0
#> 184.2 17.77      1  38        0         0
#> 170   19.54      1  43        0         1
#> 90    20.94      1  50        0         1
#> 140   12.68      1  59        1         0
#> 140.1 12.68      1  59        1         0
#> 153   21.33      1  55        1         0
#> 110   17.56      1  65        0         1
#> 199   19.81      1  NA        0         1
#> 136.1 21.83      1  43        0         1
#> 100   16.07      1  60        0         0
#> 52    10.42      1  52        0         1
#> 123   13.00      1  44        1         0
#> 117   17.46      1  26        0         1
#> 195   11.76      1  NA        1         0
#> 106   16.67      1  49        1         0
#> 70.2   7.38      1  30        1         0
#> 6.1   15.64      1  39        0         0
#> 90.1  20.94      1  50        0         1
#> 10.1  10.53      1  34        0         0
#> 23    16.92      1  61        0         0
#> 99    21.19      1  38        0         1
#> 111.2 17.45      1  47        0         1
#> 164.2 23.60      1  76        0         1
#> 150   20.33      1  48        0         0
#> 197   21.60      1  69        1         0
#> 93    10.33      1  52        0         1
#> 145.1 10.07      1  65        1         0
#> 133   14.65      1  57        0         0
#> 41    18.02      1  40        1         0
#> 158   20.14      1  74        1         0
#> 128   20.35      1  35        0         1
#> 58.3  19.34      1  39        0         0
#> 170.1 19.54      1  43        0         1
#> 195.1 11.76      1  NA        1         0
#> 6.2   15.64      1  39        0         0
#> 40    18.00      1  28        1         0
#> 157.1 15.10      1  47        0         0
#> 194   22.40      1  38        0         1
#> 5.1   16.43      1  51        0         1
#> 45.2  17.42      1  54        0         1
#> 125   15.65      1  67        1         0
#> 106.1 16.67      1  49        1         0
#> 88.1  18.37      1  47        0         0
#> 155.1 13.08      1  26        0         0
#> 188   16.16      1  46        0         1
#> 183.1  9.24      1  67        1         0
#> 110.1 17.56      1  65        0         1
#> 86    23.81      1  58        0         1
#> 127.1  3.53      1  62        0         1
#> 99.1  21.19      1  38        0         1
#> 113   22.86      1  34        0         0
#> 29    15.45      1  68        1         0
#> 157.2 15.10      1  47        0         0
#> 101.1  9.97      1  10        0         1
#> 97.1  19.14      1  65        0         1
#> 91     5.33      1  61        0         1
#> 77.1   7.27      1  67        0         1
#> 173   24.00      0  19        0         1
#> 200   24.00      0  64        0         0
#> 71    24.00      0  51        0         0
#> 46    24.00      0  71        0         0
#> 72    24.00      0  40        0         1
#> 67    24.00      0  25        0         0
#> 38    24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 185   24.00      0  44        1         0
#> 182   24.00      0  35        0         0
#> 109   24.00      0  48        0         0
#> 131   24.00      0  66        0         0
#> 102   24.00      0  49        0         0
#> 65    24.00      0  57        1         0
#> 54    24.00      0  53        1         0
#> 118   24.00      0  44        1         0
#> 72.1  24.00      0  40        0         1
#> 11    24.00      0  42        0         1
#> 12    24.00      0  63        0         0
#> 48    24.00      0  31        1         0
#> 74    24.00      0  43        0         1
#> 182.1 24.00      0  35        0         0
#> 98    24.00      0  34        1         0
#> 21    24.00      0  47        0         0
#> 35    24.00      0  51        0         0
#> 186   24.00      0  45        1         0
#> 74.1  24.00      0  43        0         1
#> 173.1 24.00      0  19        0         1
#> 22    24.00      0  52        1         0
#> 120   24.00      0  68        0         1
#> 73    24.00      0  NA        0         1
#> 144   24.00      0  28        0         1
#> 109.1 24.00      0  48        0         0
#> 21.1  24.00      0  47        0         0
#> 1     24.00      0  23        1         0
#> 200.1 24.00      0  64        0         0
#> 46.1  24.00      0  71        0         0
#> 31    24.00      0  36        0         1
#> 118.1 24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 146   24.00      0  63        1         0
#> 191   24.00      0  60        0         1
#> 121   24.00      0  57        1         0
#> 131.1 24.00      0  66        0         0
#> 74.2  24.00      0  43        0         1
#> 147   24.00      0  76        1         0
#> 3     24.00      0  31        1         0
#> 115   24.00      0  NA        1         0
#> 126   24.00      0  48        0         0
#> 116   24.00      0  58        0         1
#> 84    24.00      0  39        0         1
#> 22.1  24.00      0  52        1         0
#> 87    24.00      0  27        0         0
#> 200.2 24.00      0  64        0         0
#> 2     24.00      0   9        0         0
#> 31.1  24.00      0  36        0         1
#> 116.1 24.00      0  58        0         1
#> 174.1 24.00      0  49        1         0
#> 172   24.00      0  41        0         0
#> 156   24.00      0  50        1         0
#> 34    24.00      0  36        0         0
#> 1.1   24.00      0  23        1         0
#> 9     24.00      0  31        1         0
#> 2.1   24.00      0   9        0         0
#> 94    24.00      0  51        0         1
#> 165   24.00      0  47        0         0
#> 165.1 24.00      0  47        0         0
#> 193   24.00      0  45        0         1
#> 28    24.00      0  67        1         0
#> 11.1  24.00      0  42        0         1
#> 67.1  24.00      0  25        0         0
#> 54.1  24.00      0  53        1         0
#> 148   24.00      0  61        1         0
#> 64    24.00      0  43        0         0
#> 146.1 24.00      0  63        1         0
#> 144.1 24.00      0  28        0         1
#> 22.2  24.00      0  52        1         0
#> 193.1 24.00      0  45        0         1
#> 95    24.00      0  68        0         1
#> 163   24.00      0  66        0         0
#> 142   24.00      0  53        0         0
#> 9.1   24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 12.1  24.00      0  63        0         0
#> 22.3  24.00      0  52        1         0
#> 160   24.00      0  31        1         0
#> 116.2 24.00      0  58        0         1
#> 148.1 24.00      0  61        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.345          NA        NA      NA
#> 2 age, Cure model          0.00940        NA        NA      NA
#> 3 grade_ii, Cure model    -0.206          NA        NA      NA
#> 4 grade_iii, Cure model    0.550          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0197        NA        NA      NA
#> 2 grade_ii, Survival model    0.886         NA        NA      NA
#> 3 grade_iii, Survival model  -0.0847        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.344895          0.009398         -0.205974          0.550003  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.3 
#> Residual Deviance: 259.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.344895168      0.009397877     -0.205973821      0.550003175 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01966676       0.88580834      -0.08474149 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 1.077937e-01 1.089906e-04 8.851382e-02 2.983279e-02 4.440868e-01
#>   [6] 9.166509e-01 2.978194e-01 3.265321e-03 1.729877e-01 3.206015e-01
#>  [11] 6.128275e-01 1.089906e-04 7.054935e-01 9.166509e-01 1.729877e-01
#>  [16] 8.903745e-06 3.557290e-01 5.752127e-02 3.802733e-01 4.443467e-02
#>  [21] 6.277676e-01 5.831691e-03 5.834885e-01 7.438503e-03 5.129292e-01
#>  [26] 6.429581e-01 7.376579e-01 3.926500e-01 4.855119e-01 1.982561e-01
#>  [31] 1.285104e-01 4.714850e-01 8.903745e-06 1.982561e-01 8.360005e-01
#>  [36] 2.668348e-02 5.752127e-02 1.285104e-01 4.855119e-01 9.660424e-01
#>  [41] 8.836735e-01 2.554149e-01 8.360005e-01 5.752127e-02 7.693554e-02
#>  [46] 1.501415e-03 8.194669e-01 9.474292e-02 5.981203e-01 4.576586e-01
#>  [51] 7.701702e-01 9.057589e-04 7.865576e-01 1.285104e-01 4.862045e-02
#>  [56] 2.071670e-02 5.551332e-01 5.551332e-01 1.341132e-02 1.494799e-01
#>  [61] 7.438503e-03 2.867745e-01 6.736799e-01 5.409462e-01 1.649095e-01
#>  [66] 2.358591e-01 8.360005e-01 3.206015e-01 2.071670e-02 6.429581e-01
#>  [71] 2.259331e-01 1.570097e-02 1.729877e-01 1.089906e-04 3.673506e-02
#>  [76] 1.118988e-02 6.894639e-01 7.054935e-01 4.307272e-01 1.147798e-01
#>  [81] 4.050538e-02 3.318731e-02 5.752127e-02 4.862045e-02 3.206015e-01
#>  [86] 1.217221e-01 3.926500e-01 4.444000e-03 2.554149e-01 1.982561e-01
#>  [91] 3.091368e-01 2.358591e-01 9.474292e-02 5.129292e-01 2.760167e-01
#>  [96] 7.865576e-01 1.494799e-01 2.954956e-07 9.660424e-01 1.570097e-02
#> [101] 2.300602e-03 3.679268e-01 3.926500e-01 7.376579e-01 7.693554e-02
#> [106] 9.493433e-01 8.836735e-01 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [191] 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>   108   164   179    68    96    25    26    15   111     6    42 164.1   145 
#> 18.29 23.60 18.63 20.62 14.54  6.32 15.77 22.68 17.45 15.64 12.43 23.60 10.07 
#>  25.1 111.1   168   167    58    18   105    56   175   177   136   155    10 
#>  6.32 17.45 23.72 15.55 19.34 15.21 19.75 12.21 21.91 12.53 21.83 13.08 10.53 
#>   101   157    60    45   184    81 168.1  45.1    70   190  58.1 184.1  60.1 
#>  9.97 15.10 13.15 17.42 17.77 14.06 23.72 17.42  7.38 20.81 19.34 17.77 13.15 
#>   127    77     5  70.1  58.2    97    92   149    88    37    57   187    69 
#>  3.53  7.27 16.43  7.38 19.34 19.14 22.92  8.37 18.37 12.52 14.46  9.92 23.23 
#>   183 184.2   170    90   140 140.1   153   110 136.1   100    52   123   117 
#>  9.24 17.77 19.54 20.94 12.68 12.68 21.33 17.56 21.83 16.07 10.42 13.00 17.46 
#>   106  70.2   6.1  90.1  10.1    23    99 111.2 164.2   150   197    93 145.1 
#> 16.67  7.38 15.64 20.94 10.53 16.92 21.19 17.45 23.60 20.33 21.60 10.33 10.07 
#>   133    41   158   128  58.3 170.1   6.2    40 157.1   194   5.1  45.2   125 
#> 14.65 18.02 20.14 20.35 19.34 19.54 15.64 18.00 15.10 22.40 16.43 17.42 15.65 
#> 106.1  88.1 155.1   188 183.1 110.1    86 127.1  99.1   113    29 157.2 101.1 
#> 16.67 18.37 13.08 16.16  9.24 17.56 23.81  3.53 21.19 22.86 15.45 15.10  9.97 
#>  97.1    91  77.1   173   200    71    46    72    67    38   174   185   182 
#> 19.14  5.33  7.27 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   109   131   102    65    54   118  72.1    11    12    48    74 182.1    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21    35   186  74.1 173.1    22   120   144 109.1  21.1     1 200.1  46.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31 118.1     7   146   191   121 131.1  74.2   147     3   126   116    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  22.1    87 200.2     2  31.1 116.1 174.1   172   156    34   1.1     9   2.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94   165 165.1   193    28  11.1  67.1  54.1   148    64 146.1 144.1  22.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 193.1    95   163   142   9.1   178  12.1  22.3   160 116.2 148.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[52]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01922852                0.90906190                0.43895698 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>           -0.6964157784            0.0144748392            0.0001377768 
#>   grade_iii, Cure model 
#>            0.5720638515 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 145   10.07      1  65        1         0
#> 127    3.53      1  62        0         1
#> 86    23.81      1  58        0         1
#> 181   16.46      1  45        0         1
#> 66    22.13      1  53        0         0
#> 117   17.46      1  26        0         1
#> 105   19.75      1  60        0         0
#> 36    21.19      1  48        0         1
#> 111   17.45      1  47        0         1
#> 180   14.82      1  37        0         0
#> 52    10.42      1  52        0         1
#> 77     7.27      1  67        0         1
#> 114   13.68      1  NA        0         0
#> 179   18.63      1  42        0         0
#> 149    8.37      1  33        1         0
#> 52.1  10.42      1  52        0         1
#> 153   21.33      1  55        1         0
#> 117.1 17.46      1  26        0         1
#> 92    22.92      1  47        0         1
#> 188   16.16      1  46        0         1
#> 190   20.81      1  42        1         0
#> 133   14.65      1  57        0         0
#> 175   21.91      1  43        0         0
#> 164   23.60      1  76        0         1
#> 114.1 13.68      1  NA        0         0
#> 81    14.06      1  34        0         0
#> 90    20.94      1  50        0         1
#> 36.1  21.19      1  48        0         1
#> 32    20.90      1  37        1         0
#> 79    16.23      1  54        1         0
#> 139   21.49      1  63        1         0
#> 61    10.12      1  36        0         1
#> 124    9.73      1  NA        1         0
#> 85    16.44      1  36        0         0
#> 81.1  14.06      1  34        0         0
#> 175.1 21.91      1  43        0         0
#> 187    9.92      1  39        1         0
#> 85.1  16.44      1  36        0         0
#> 106   16.67      1  49        1         0
#> 189   10.51      1  NA        1         0
#> 123   13.00      1  44        1         0
#> 188.1 16.16      1  46        0         1
#> 170   19.54      1  43        0         1
#> 91     5.33      1  61        0         1
#> 24    23.89      1  38        0         0
#> 171   16.57      1  41        0         1
#> 194   22.40      1  38        0         1
#> 170.1 19.54      1  43        0         1
#> 179.1 18.63      1  42        0         0
#> 86.1  23.81      1  58        0         1
#> 154   12.63      1  20        1         0
#> 111.1 17.45      1  47        0         1
#> 56    12.21      1  60        0         0
#> 180.1 14.82      1  37        0         0
#> 128   20.35      1  35        0         1
#> 100   16.07      1  60        0         0
#> 49    12.19      1  48        1         0
#> 78    23.88      1  43        0         0
#> 13    14.34      1  54        0         1
#> 129   23.41      1  53        1         0
#> 78.1  23.88      1  43        0         0
#> 26    15.77      1  49        0         1
#> 194.1 22.40      1  38        0         1
#> 158   20.14      1  74        1         0
#> 134   17.81      1  47        1         0
#> 159   10.55      1  50        0         1
#> 25     6.32      1  34        1         0
#> 167   15.55      1  56        1         0
#> 97    19.14      1  65        0         1
#> 168   23.72      1  70        0         0
#> 149.1  8.37      1  33        1         0
#> 5     16.43      1  51        0         1
#> 92.1  22.92      1  47        0         1
#> 113   22.86      1  34        0         0
#> 124.1  9.73      1  NA        1         0
#> 91.1   5.33      1  61        0         1
#> 55    19.34      1  69        0         1
#> 139.1 21.49      1  63        1         0
#> 81.2  14.06      1  34        0         0
#> 36.2  21.19      1  48        0         1
#> 158.1 20.14      1  74        1         0
#> 127.1  3.53      1  62        0         1
#> 8     18.43      1  32        0         0
#> 96    14.54      1  33        0         1
#> 110   17.56      1  65        0         1
#> 125   15.65      1  67        1         0
#> 88    18.37      1  47        0         0
#> 18    15.21      1  49        1         0
#> 130   16.47      1  53        0         1
#> 26.1  15.77      1  49        0         1
#> 123.1 13.00      1  44        1         0
#> 167.1 15.55      1  56        1         0
#> 36.3  21.19      1  48        0         1
#> 150   20.33      1  48        0         0
#> 25.1   6.32      1  34        1         0
#> 78.2  23.88      1  43        0         0
#> 4     17.64      1  NA        0         1
#> 26.2  15.77      1  49        0         1
#> 56.1  12.21      1  60        0         0
#> 124.2  9.73      1  NA        1         0
#> 25.2   6.32      1  34        1         0
#> 70     7.38      1  30        1         0
#> 110.1 17.56      1  65        0         1
#> 153.1 21.33      1  55        1         0
#> 8.1   18.43      1  32        0         0
#> 124.3  9.73      1  NA        1         0
#> 81.3  14.06      1  34        0         0
#> 169   22.41      1  46        0         0
#> 86.2  23.81      1  58        0         1
#> 188.2 16.16      1  46        0         1
#> 81.4  14.06      1  34        0         0
#> 100.1 16.07      1  60        0         0
#> 174   24.00      0  49        1         0
#> 135   24.00      0  58        1         0
#> 47    24.00      0  38        0         1
#> 173   24.00      0  19        0         1
#> 162   24.00      0  51        0         0
#> 146   24.00      0  63        1         0
#> 3     24.00      0  31        1         0
#> 115   24.00      0  NA        1         0
#> 47.1  24.00      0  38        0         1
#> 122   24.00      0  66        0         0
#> 87    24.00      0  27        0         0
#> 33    24.00      0  53        0         0
#> 176   24.00      0  43        0         1
#> 12    24.00      0  63        0         0
#> 33.1  24.00      0  53        0         0
#> 82    24.00      0  34        0         0
#> 122.1 24.00      0  66        0         0
#> 165   24.00      0  47        0         0
#> 186   24.00      0  45        1         0
#> 65    24.00      0  57        1         0
#> 19    24.00      0  57        0         1
#> 126   24.00      0  48        0         0
#> 71    24.00      0  51        0         0
#> 74    24.00      0  43        0         1
#> 83    24.00      0   6        0         0
#> 193   24.00      0  45        0         1
#> 38    24.00      0  31        1         0
#> 193.1 24.00      0  45        0         1
#> 35    24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 191   24.00      0  60        0         1
#> 53    24.00      0  32        0         1
#> 47.2  24.00      0  38        0         1
#> 11    24.00      0  42        0         1
#> 64    24.00      0  43        0         0
#> 147   24.00      0  76        1         0
#> 1     24.00      0  23        1         0
#> 11.1  24.00      0  42        0         1
#> 53.1  24.00      0  32        0         1
#> 71.1  24.00      0  51        0         0
#> 109   24.00      0  48        0         0
#> 118   24.00      0  44        1         0
#> 94    24.00      0  51        0         1
#> 3.1   24.00      0  31        1         0
#> 48    24.00      0  31        1         0
#> 141   24.00      0  44        1         0
#> 156   24.00      0  50        1         0
#> 178   24.00      0  52        1         0
#> 191.1 24.00      0  60        0         1
#> 33.2  24.00      0  53        0         0
#> 34    24.00      0  36        0         0
#> 126.1 24.00      0  48        0         0
#> 119   24.00      0  17        0         0
#> 151   24.00      0  42        0         0
#> 193.2 24.00      0  45        0         1
#> 200   24.00      0  64        0         0
#> 64.1  24.00      0  43        0         0
#> 38.1  24.00      0  31        1         0
#> 94.1  24.00      0  51        0         1
#> 135.1 24.00      0  58        1         0
#> 35.1  24.00      0  51        0         0
#> 46    24.00      0  71        0         0
#> 115.1 24.00      0  NA        1         0
#> 144   24.00      0  28        0         1
#> 84    24.00      0  39        0         1
#> 200.1 24.00      0  64        0         0
#> 83.1  24.00      0   6        0         0
#> 65.1  24.00      0  57        1         0
#> 173.1 24.00      0  19        0         1
#> 176.1 24.00      0  43        0         1
#> 152   24.00      0  36        0         1
#> 144.1 24.00      0  28        0         1
#> 178.1 24.00      0  52        1         0
#> 20    24.00      0  46        1         0
#> 31    24.00      0  36        0         1
#> 3.2   24.00      0  31        1         0
#> 146.1 24.00      0  63        1         0
#> 71.2  24.00      0  51        0         0
#> 44.1  24.00      0  56        0         0
#> 147.1 24.00      0  76        1         0
#> 9     24.00      0  31        1         0
#> 20.1  24.00      0  46        1         0
#> 104   24.00      0  50        1         0
#> 54    24.00      0  53        1         0
#> 142   24.00      0  53        0         0
#> 102   24.00      0  49        0         0
#> 94.2  24.00      0  51        0         1
#> 27    24.00      0  63        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.696           NA        NA      NA
#> 2 age, Cure model          0.0145          NA        NA      NA
#> 3 grade_ii, Cure model     0.000138        NA        NA      NA
#> 4 grade_iii, Cure model    0.572           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0192        NA        NA      NA
#> 2 grade_ii, Survival model    0.909         NA        NA      NA
#> 3 grade_iii, Survival model   0.439         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>       -0.6964158         0.0144748         0.0001378         0.5720639  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 256.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>    -0.6964157784     0.0144748392     0.0001377768     0.5720638515 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01922852       0.90906190       0.43895698 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 8.174535e-01 9.714577e-01 3.741390e-03 3.526701e-01 4.560221e-02
#>   [6] 2.812834e-01 1.647397e-01 8.735874e-02 3.010790e-01 5.493419e-01
#>  [11] 7.751338e-01 8.880019e-01 2.060326e-01 8.460096e-01 7.751338e-01
#>  [16] 7.486315e-02 2.812834e-01 1.936105e-02 4.072636e-01 1.277231e-01
#>  [21] 5.744783e-01 5.103819e-02 1.221419e-02 6.134027e-01 1.132271e-01
#>  [26] 8.735874e-02 1.205226e-01 3.961096e-01 6.265284e-02 8.032261e-01
#>  [31] 3.633403e-01 6.134027e-01 5.103819e-02 8.317527e-01 3.633403e-01
#>  [36] 3.213708e-01 6.792890e-01 4.072636e-01 1.727583e-01 9.433523e-01
#>  [41] 8.809056e-05 3.316930e-01 3.605975e-02 1.727583e-01 2.060326e-01
#>  [46] 3.741390e-03 7.063825e-01 3.010790e-01 7.198814e-01 5.493419e-01
#>  [51] 1.348806e-01 4.407815e-01 7.473240e-01 7.026544e-04 6.003263e-01
#>  [56] 1.574378e-02 7.026544e-04 4.642451e-01 3.605975e-02 1.495851e-01
#>  [61] 2.519326e-01 7.611772e-01 9.021435e-01 5.123801e-01 1.973602e-01
#>  [66] 9.237228e-03 8.460096e-01 3.849937e-01 1.936105e-02 2.688525e-02
#>  [71] 9.433523e-01 1.888945e-01 6.265284e-02 6.134027e-01 8.735874e-02
#>  [76] 1.495851e-01 9.714577e-01 2.238252e-01 5.873770e-01 2.615704e-01
#>  [81] 5.000524e-01 2.422929e-01 5.369194e-01 3.421108e-01 4.642451e-01
#>  [86] 6.792890e-01 5.123801e-01 8.735874e-02 1.421182e-01 9.021435e-01
#>  [91] 7.026544e-04 4.642451e-01 7.198814e-01 9.021435e-01 8.739880e-01
#>  [96] 2.615704e-01 7.486315e-02 2.238252e-01 6.134027e-01 3.127512e-02
#> [101] 3.741390e-03 4.072636e-01 6.134027e-01 4.407815e-01 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>   145   127    86   181    66   117   105    36   111   180    52    77   179 
#> 10.07  3.53 23.81 16.46 22.13 17.46 19.75 21.19 17.45 14.82 10.42  7.27 18.63 
#>   149  52.1   153 117.1    92   188   190   133   175   164    81    90  36.1 
#>  8.37 10.42 21.33 17.46 22.92 16.16 20.81 14.65 21.91 23.60 14.06 20.94 21.19 
#>    32    79   139    61    85  81.1 175.1   187  85.1   106   123 188.1   170 
#> 20.90 16.23 21.49 10.12 16.44 14.06 21.91  9.92 16.44 16.67 13.00 16.16 19.54 
#>    91    24   171   194 170.1 179.1  86.1   154 111.1    56 180.1   128   100 
#>  5.33 23.89 16.57 22.40 19.54 18.63 23.81 12.63 17.45 12.21 14.82 20.35 16.07 
#>    49    78    13   129  78.1    26 194.1   158   134   159    25   167    97 
#> 12.19 23.88 14.34 23.41 23.88 15.77 22.40 20.14 17.81 10.55  6.32 15.55 19.14 
#>   168 149.1     5  92.1   113  91.1    55 139.1  81.2  36.2 158.1 127.1     8 
#> 23.72  8.37 16.43 22.92 22.86  5.33 19.34 21.49 14.06 21.19 20.14  3.53 18.43 
#>    96   110   125    88    18   130  26.1 123.1 167.1  36.3   150  25.1  78.2 
#> 14.54 17.56 15.65 18.37 15.21 16.47 15.77 13.00 15.55 21.19 20.33  6.32 23.88 
#>  26.2  56.1  25.2    70 110.1 153.1   8.1  81.3   169  86.2 188.2  81.4 100.1 
#> 15.77 12.21  6.32  7.38 17.56 21.33 18.43 14.06 22.41 23.81 16.16 14.06 16.07 
#>   174   135    47   173   162   146     3  47.1   122    87    33   176    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  33.1    82 122.1   165   186    65    19   126    71    74    83   193    38 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 193.1    35    44   191    53  47.2    11    64   147     1  11.1  53.1  71.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   109   118    94   3.1    48   141   156   178 191.1  33.2    34 126.1   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   151 193.2   200  64.1  38.1  94.1 135.1  35.1    46   144    84 200.1  83.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.1 173.1 176.1   152 144.1 178.1    20    31   3.2 146.1  71.2  44.1 147.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9  20.1   104    54   142   102  94.2    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[53]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01049424                0.65230916                0.18321874 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.79326000              0.01193572              0.04568128 
#>   grade_iii, Cure model 
#>              1.12477742 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 66    22.13      1  53        0         0
#> 194   22.40      1  38        0         1
#> 92    22.92      1  47        0         1
#> 10    10.53      1  34        0         0
#> 90    20.94      1  50        0         1
#> 164   23.60      1  76        0         1
#> 66.1  22.13      1  53        0         0
#> 18    15.21      1  49        1         0
#> 55    19.34      1  69        0         1
#> 59    10.16      1  NA        1         0
#> 40    18.00      1  28        1         0
#> 56    12.21      1  60        0         0
#> 189   10.51      1  NA        1         0
#> 23    16.92      1  61        0         0
#> 183    9.24      1  67        1         0
#> 189.1 10.51      1  NA        1         0
#> 140   12.68      1  59        1         0
#> 107   11.18      1  54        1         0
#> 52    10.42      1  52        0         1
#> 77     7.27      1  67        0         1
#> 76    19.22      1  54        0         1
#> 59.1  10.16      1  NA        1         0
#> 158   20.14      1  74        1         0
#> 78    23.88      1  43        0         0
#> 188   16.16      1  46        0         1
#> 197   21.60      1  69        1         0
#> 78.1  23.88      1  43        0         0
#> 105   19.75      1  60        0         0
#> 195   11.76      1  NA        1         0
#> 10.1  10.53      1  34        0         0
#> 42    12.43      1  49        0         1
#> 108   18.29      1  39        0         1
#> 101    9.97      1  10        0         1
#> 105.1 19.75      1  60        0         0
#> 127    3.53      1  62        0         1
#> 32    20.90      1  37        1         0
#> 159   10.55      1  50        0         1
#> 69    23.23      1  25        0         1
#> 181   16.46      1  45        0         1
#> 170   19.54      1  43        0         1
#> 195.1 11.76      1  NA        1         0
#> 155   13.08      1  26        0         0
#> 29    15.45      1  68        1         0
#> 26    15.77      1  49        0         1
#> 26.1  15.77      1  49        0         1
#> 111   17.45      1  47        0         1
#> 107.1 11.18      1  54        1         0
#> 10.2  10.53      1  34        0         0
#> 30    17.43      1  78        0         0
#> 110   17.56      1  65        0         1
#> 58    19.34      1  39        0         0
#> 59.2  10.16      1  NA        1         0
#> 101.1  9.97      1  10        0         1
#> 130   16.47      1  53        0         1
#> 101.2  9.97      1  10        0         1
#> 93    10.33      1  52        0         1
#> 187    9.92      1  39        1         0
#> 164.1 23.60      1  76        0         1
#> 158.1 20.14      1  74        1         0
#> 30.1  17.43      1  78        0         0
#> 107.2 11.18      1  54        1         0
#> 175   21.91      1  43        0         0
#> 42.1  12.43      1  49        0         1
#> 61    10.12      1  36        0         1
#> 150   20.33      1  48        0         0
#> 199   19.81      1  NA        0         1
#> 128   20.35      1  35        0         1
#> 108.1 18.29      1  39        0         1
#> 145   10.07      1  65        1         0
#> 41    18.02      1  40        1         0
#> 56.1  12.21      1  60        0         0
#> 57    14.46      1  45        0         1
#> 50    10.02      1  NA        1         0
#> 187.1  9.92      1  39        1         0
#> 77.1   7.27      1  67        0         1
#> 51    18.23      1  83        0         1
#> 32.1  20.90      1  37        1         0
#> 101.3  9.97      1  10        0         1
#> 187.2  9.92      1  39        1         0
#> 18.1  15.21      1  49        1         0
#> 51.1  18.23      1  83        0         1
#> 130.1 16.47      1  53        0         1
#> 55.1  19.34      1  69        0         1
#> 136   21.83      1  43        0         1
#> 99    21.19      1  38        0         1
#> 134   17.81      1  47        1         0
#> 14    12.89      1  21        0         0
#> 110.1 17.56      1  65        0         1
#> 97    19.14      1  65        0         1
#> 175.1 21.91      1  43        0         0
#> 180   14.82      1  37        0         0
#> 57.1  14.46      1  45        0         1
#> 117   17.46      1  26        0         1
#> 14.1  12.89      1  21        0         0
#> 30.2  17.43      1  78        0         0
#> 61.1  10.12      1  36        0         1
#> 106   16.67      1  49        1         0
#> 59.3  10.16      1  NA        1         0
#> 42.2  12.43      1  49        0         1
#> 36    21.19      1  48        0         1
#> 93.1  10.33      1  52        0         1
#> 170.1 19.54      1  43        0         1
#> 14.2  12.89      1  21        0         0
#> 125   15.65      1  67        1         0
#> 177   12.53      1  75        0         0
#> 155.1 13.08      1  26        0         0
#> 70     7.38      1  30        1         0
#> 10.3  10.53      1  34        0         0
#> 66.2  22.13      1  53        0         0
#> 49    12.19      1  48        1         0
#> 10.4  10.53      1  34        0         0
#> 194.1 22.40      1  38        0         1
#> 98    24.00      0  34        1         0
#> 118   24.00      0  44        1         0
#> 109   24.00      0  48        0         0
#> 112   24.00      0  61        0         0
#> 119   24.00      0  17        0         0
#> 31    24.00      0  36        0         1
#> 17    24.00      0  38        0         1
#> 191   24.00      0  60        0         1
#> 174   24.00      0  49        1         0
#> 2     24.00      0   9        0         0
#> 165   24.00      0  47        0         0
#> 115   24.00      0  NA        1         0
#> 147   24.00      0  76        1         0
#> 33    24.00      0  53        0         0
#> 178   24.00      0  52        1         0
#> 196   24.00      0  19        0         0
#> 17.1  24.00      0  38        0         1
#> 191.1 24.00      0  60        0         1
#> 21    24.00      0  47        0         0
#> 62    24.00      0  71        0         0
#> 132   24.00      0  55        0         0
#> 137   24.00      0  45        1         0
#> 62.1  24.00      0  71        0         0
#> 19    24.00      0  57        0         1
#> 126   24.00      0  48        0         0
#> 53    24.00      0  32        0         1
#> 21.1  24.00      0  47        0         0
#> 34    24.00      0  36        0         0
#> 9     24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 119.1 24.00      0  17        0         0
#> 144   24.00      0  28        0         1
#> 28    24.00      0  67        1         0
#> 109.1 24.00      0  48        0         0
#> 135   24.00      0  58        1         0
#> 65    24.00      0  57        1         0
#> 19.1  24.00      0  57        0         1
#> 87    24.00      0  27        0         0
#> 44    24.00      0  56        0         0
#> 94    24.00      0  51        0         1
#> 54    24.00      0  53        1         0
#> 17.2  24.00      0  38        0         1
#> 71    24.00      0  51        0         0
#> 196.1 24.00      0  19        0         0
#> 135.1 24.00      0  58        1         0
#> 138   24.00      0  44        1         0
#> 98.1  24.00      0  34        1         0
#> 182   24.00      0  35        0         0
#> 67    24.00      0  25        0         0
#> 172   24.00      0  41        0         0
#> 160   24.00      0  31        1         0
#> 22    24.00      0  52        1         0
#> 83    24.00      0   6        0         0
#> 31.1  24.00      0  36        0         1
#> 75    24.00      0  21        1         0
#> 65.1  24.00      0  57        1         0
#> 191.2 24.00      0  60        0         1
#> 95    24.00      0  68        0         1
#> 120   24.00      0  68        0         1
#> 33.1  24.00      0  53        0         0
#> 148   24.00      0  61        1         0
#> 160.1 24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 11    24.00      0  42        0         1
#> 196.2 24.00      0  19        0         0
#> 121   24.00      0  57        1         0
#> 17.3  24.00      0  38        0         1
#> 200   24.00      0  64        0         0
#> 67.1  24.00      0  25        0         0
#> 121.1 24.00      0  57        1         0
#> 46    24.00      0  71        0         0
#> 87.1  24.00      0  27        0         0
#> 54.1  24.00      0  53        1         0
#> 126.1 24.00      0  48        0         0
#> 12    24.00      0  63        0         0
#> 54.2  24.00      0  53        1         0
#> 142   24.00      0  53        0         0
#> 72    24.00      0  40        0         1
#> 118.1 24.00      0  44        1         0
#> 161   24.00      0  45        0         0
#> 95.1  24.00      0  68        0         1
#> 135.2 24.00      0  58        1         0
#> 21.2  24.00      0  47        0         0
#> 151   24.00      0  42        0         0
#> 137.1 24.00      0  45        1         0
#> 176   24.00      0  43        0         1
#> 80    24.00      0  41        0         0
#> 119.2 24.00      0  17        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.793         NA        NA      NA
#> 2 age, Cure model           0.0119        NA        NA      NA
#> 3 grade_ii, Cure model      0.0457        NA        NA      NA
#> 4 grade_iii, Cure model     1.12          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0105        NA        NA      NA
#> 2 grade_ii, Survival model    0.652         NA        NA      NA
#> 3 grade_iii, Survival model   0.183         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.79326           0.01194           0.04568           1.12478  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.3 
#> Residual Deviance: 245 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.79326000       0.01193572       0.04568128       1.12477742 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01049424       0.65230916       0.18321874 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.035538461 0.024905070 0.019411809 0.724092711 0.097848965 0.006122323
#>   [7] 0.035538461 0.474839966 0.185864491 0.278516858 0.642337275 0.367298813
#>  [13] 0.939484236 0.585192906 0.677628295 0.782600852 0.963619274 0.212017100
#>  [19] 0.136694601 0.001273367 0.420271869 0.075012045 0.001273367 0.152422815
#>  [25] 0.724092711 0.608022448 0.230628895 0.855734461 0.152422815 0.987785786
#>  [31] 0.105959907 0.712289887 0.014310065 0.409504431 0.168948618 0.529513856
#>  [37] 0.463822831 0.431111195 0.431111195 0.326965289 0.677628295 0.724092711
#>  [43] 0.336901267 0.297754065 0.185864491 0.855734461 0.388390190 0.855734461
#>  [49] 0.794725831 0.903677471 0.006122323 0.136694601 0.336901267 0.677628295
#>  [55] 0.053465555 0.608022448 0.819014465 0.128702012 0.120901220 0.230628895
#>  [61] 0.843431175 0.268724419 0.642337275 0.507486402 0.903677471 0.963619274
#>  [67] 0.249314745 0.105959907 0.855734461 0.903677471 0.474839966 0.249314745
#>  [73] 0.388390190 0.185864491 0.067429528 0.082648658 0.288163124 0.551762422
#>  [79] 0.297754065 0.221246110 0.053465555 0.496471899 0.507486402 0.317109166
#>  [85] 0.551762422 0.336901267 0.819014465 0.377866282 0.608022448 0.082648658
#>  [91] 0.794725831 0.168948618 0.551762422 0.452821245 0.596548178 0.529513856
#>  [97] 0.951582468 0.724092711 0.035538461 0.665816815 0.724092711 0.024905070
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000
#> 
#> $Time
#>    66   194    92    10    90   164  66.1    18    55    40    56    23   183 
#> 22.13 22.40 22.92 10.53 20.94 23.60 22.13 15.21 19.34 18.00 12.21 16.92  9.24 
#>   140   107    52    77    76   158    78   188   197  78.1   105  10.1    42 
#> 12.68 11.18 10.42  7.27 19.22 20.14 23.88 16.16 21.60 23.88 19.75 10.53 12.43 
#>   108   101 105.1   127    32   159    69   181   170   155    29    26  26.1 
#> 18.29  9.97 19.75  3.53 20.90 10.55 23.23 16.46 19.54 13.08 15.45 15.77 15.77 
#>   111 107.1  10.2    30   110    58 101.1   130 101.2    93   187 164.1 158.1 
#> 17.45 11.18 10.53 17.43 17.56 19.34  9.97 16.47  9.97 10.33  9.92 23.60 20.14 
#>  30.1 107.2   175  42.1    61   150   128 108.1   145    41  56.1    57 187.1 
#> 17.43 11.18 21.91 12.43 10.12 20.33 20.35 18.29 10.07 18.02 12.21 14.46  9.92 
#>  77.1    51  32.1 101.3 187.2  18.1  51.1 130.1  55.1   136    99   134    14 
#>  7.27 18.23 20.90  9.97  9.92 15.21 18.23 16.47 19.34 21.83 21.19 17.81 12.89 
#> 110.1    97 175.1   180  57.1   117  14.1  30.2  61.1   106  42.2    36  93.1 
#> 17.56 19.14 21.91 14.82 14.46 17.46 12.89 17.43 10.12 16.67 12.43 21.19 10.33 
#> 170.1  14.2   125   177 155.1    70  10.3  66.2    49  10.4 194.1    98   118 
#> 19.54 12.89 15.65 12.53 13.08  7.38 10.53 22.13 12.19 10.53 22.40 24.00 24.00 
#>   109   112   119    31    17   191   174     2   165   147    33   178   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  17.1 191.1    21    62   132   137  62.1    19   126    53  21.1    34     9 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 119.1   144    28 109.1   135    65  19.1    87    44    94    54  17.2    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 196.1 135.1   138  98.1   182    67   172   160    22    83  31.1    75  65.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 191.2    95   120  33.1   148 160.1     1    11 196.2   121  17.3   200  67.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 121.1    46  87.1  54.1 126.1    12  54.2   142    72 118.1   161  95.1 135.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  21.2   151 137.1   176    80 119.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[54]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.002123277               1.230185774               0.556347628 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.58549294              0.01095971             -0.23225643 
#>   grade_iii, Cure model 
#>              0.94393742 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 57    14.46      1  45        0         1
#> 108   18.29      1  39        0         1
#> 110   17.56      1  65        0         1
#> 117   17.46      1  26        0         1
#> 18    15.21      1  49        1         0
#> 86    23.81      1  58        0         1
#> 127    3.53      1  62        0         1
#> 4     17.64      1  NA        0         1
#> 124    9.73      1  NA        1         0
#> 77     7.27      1  67        0         1
#> 192   16.44      1  31        1         0
#> 155   13.08      1  26        0         0
#> 179   18.63      1  42        0         0
#> 78    23.88      1  43        0         0
#> 194   22.40      1  38        0         1
#> 190   20.81      1  42        1         0
#> 158   20.14      1  74        1         0
#> 113   22.86      1  34        0         0
#> 195   11.76      1  NA        1         0
#> 159   10.55      1  50        0         1
#> 29    15.45      1  68        1         0
#> 18.1  15.21      1  49        1         0
#> 99    21.19      1  38        0         1
#> 43    12.10      1  61        0         1
#> 91     5.33      1  61        0         1
#> 155.1 13.08      1  26        0         0
#> 77.1   7.27      1  67        0         1
#> 110.1 17.56      1  65        0         1
#> 164   23.60      1  76        0         1
#> 111   17.45      1  47        0         1
#> 100   16.07      1  60        0         0
#> 10    10.53      1  34        0         0
#> 5     16.43      1  51        0         1
#> 89    11.44      1  NA        0         0
#> 90    20.94      1  50        0         1
#> 60    13.15      1  38        1         0
#> 180   14.82      1  37        0         0
#> 107   11.18      1  54        1         0
#> 18.2  15.21      1  49        1         0
#> 92    22.92      1  47        0         1
#> 105   19.75      1  60        0         0
#> 111.1 17.45      1  47        0         1
#> 91.1   5.33      1  61        0         1
#> 130   16.47      1  53        0         1
#> 167   15.55      1  56        1         0
#> 49    12.19      1  48        1         0
#> 90.1  20.94      1  50        0         1
#> 113.1 22.86      1  34        0         0
#> 10.1  10.53      1  34        0         0
#> 76    19.22      1  54        0         1
#> 181   16.46      1  45        0         1
#> 149    8.37      1  33        1         0
#> 61    10.12      1  36        0         1
#> 86.1  23.81      1  58        0         1
#> 39    15.59      1  37        0         1
#> 194.1 22.40      1  38        0         1
#> 36    21.19      1  48        0         1
#> 37    12.52      1  57        1         0
#> 91.2   5.33      1  61        0         1
#> 190.1 20.81      1  42        1         0
#> 164.1 23.60      1  76        0         1
#> 4.1   17.64      1  NA        0         1
#> 70     7.38      1  30        1         0
#> 167.1 15.55      1  56        1         0
#> 183    9.24      1  67        1         0
#> 51    18.23      1  83        0         1
#> 8     18.43      1  32        0         0
#> 43.1  12.10      1  61        0         1
#> 124.1  9.73      1  NA        1         0
#> 13    14.34      1  54        0         1
#> 105.1 19.75      1  60        0         0
#> 8.1   18.43      1  32        0         0
#> 39.1  15.59      1  37        0         1
#> 108.1 18.29      1  39        0         1
#> 50    10.02      1  NA        1         0
#> 24    23.89      1  38        0         0
#> 145   10.07      1  65        1         0
#> 124.2  9.73      1  NA        1         0
#> 52    10.42      1  52        0         1
#> 194.2 22.40      1  38        0         1
#> 167.2 15.55      1  56        1         0
#> 40    18.00      1  28        1         0
#> 100.1 16.07      1  60        0         0
#> 168   23.72      1  70        0         0
#> 55    19.34      1  69        0         1
#> 57.1  14.46      1  45        0         1
#> 24.1  23.89      1  38        0         0
#> 23    16.92      1  61        0         0
#> 177   12.53      1  75        0         0
#> 89.1  11.44      1  NA        0         0
#> 57.2  14.46      1  45        0         1
#> 57.3  14.46      1  45        0         1
#> 78.1  23.88      1  43        0         0
#> 123   13.00      1  44        1         0
#> 177.1 12.53      1  75        0         0
#> 58    19.34      1  39        0         0
#> 140   12.68      1  59        1         0
#> 169   22.41      1  46        0         0
#> 194.3 22.40      1  38        0         1
#> 45    17.42      1  54        0         1
#> 149.1  8.37      1  33        1         0
#> 192.1 16.44      1  31        1         0
#> 58.1  19.34      1  39        0         0
#> 24.2  23.89      1  38        0         0
#> 140.1 12.68      1  59        1         0
#> 96    14.54      1  33        0         1
#> 183.1  9.24      1  67        1         0
#> 76.1  19.22      1  54        0         1
#> 169.1 22.41      1  46        0         0
#> 23.1  16.92      1  61        0         0
#> 197   21.60      1  69        1         0
#> 30    17.43      1  78        0         0
#> 75    24.00      0  21        1         0
#> 12    24.00      0  63        0         0
#> 144   24.00      0  28        0         1
#> 82    24.00      0  34        0         0
#> 48    24.00      0  31        1         0
#> 147   24.00      0  76        1         0
#> 102   24.00      0  49        0         0
#> 46    24.00      0  71        0         0
#> 162   24.00      0  51        0         0
#> 27    24.00      0  63        1         0
#> 73    24.00      0  NA        0         1
#> 115   24.00      0  NA        1         0
#> 131   24.00      0  66        0         0
#> 151   24.00      0  42        0         0
#> 120   24.00      0  68        0         1
#> 147.1 24.00      0  76        1         0
#> 67    24.00      0  25        0         0
#> 38    24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 21    24.00      0  47        0         0
#> 174   24.00      0  49        1         0
#> 122   24.00      0  66        0         0
#> 84    24.00      0  39        0         1
#> 163   24.00      0  66        0         0
#> 191   24.00      0  60        0         1
#> 160   24.00      0  31        1         0
#> 174.1 24.00      0  49        1         0
#> 138   24.00      0  44        1         0
#> 122.1 24.00      0  66        0         0
#> 103   24.00      0  56        1         0
#> 9     24.00      0  31        1         0
#> 116   24.00      0  58        0         1
#> 11    24.00      0  42        0         1
#> 65    24.00      0  57        1         0
#> 142   24.00      0  53        0         0
#> 118   24.00      0  44        1         0
#> 156   24.00      0  50        1         0
#> 185   24.00      0  44        1         0
#> 176   24.00      0  43        0         1
#> 104   24.00      0  50        1         0
#> 120.1 24.00      0  68        0         1
#> 160.1 24.00      0  31        1         0
#> 176.1 24.00      0  43        0         1
#> 196   24.00      0  19        0         0
#> 53    24.00      0  32        0         1
#> 83    24.00      0   6        0         0
#> 22    24.00      0  52        1         0
#> 33    24.00      0  53        0         0
#> 112   24.00      0  61        0         0
#> 48.1  24.00      0  31        1         0
#> 196.1 24.00      0  19        0         0
#> 82.1  24.00      0  34        0         0
#> 126   24.00      0  48        0         0
#> 47    24.00      0  38        0         1
#> 46.1  24.00      0  71        0         0
#> 121   24.00      0  57        1         0
#> 198   24.00      0  66        0         1
#> 138.1 24.00      0  44        1         0
#> 65.1  24.00      0  57        1         0
#> 62    24.00      0  71        0         0
#> 34    24.00      0  36        0         0
#> 138.2 24.00      0  44        1         0
#> 174.2 24.00      0  49        1         0
#> 46.2  24.00      0  71        0         0
#> 98    24.00      0  34        1         0
#> 22.1  24.00      0  52        1         0
#> 126.1 24.00      0  48        0         0
#> 28    24.00      0  67        1         0
#> 20    24.00      0  46        1         0
#> 80    24.00      0  41        0         0
#> 120.2 24.00      0  68        0         1
#> 31    24.00      0  36        0         1
#> 75.1  24.00      0  21        1         0
#> 20.1  24.00      0  46        1         0
#> 196.2 24.00      0  19        0         0
#> 34.1  24.00      0  36        0         0
#> 148   24.00      0  61        1         0
#> 152.1 24.00      0  36        0         1
#> 174.3 24.00      0  49        1         0
#> 160.2 24.00      0  31        1         0
#> 162.1 24.00      0  51        0         0
#> 87    24.00      0  27        0         0
#> 11.1  24.00      0  42        0         1
#> 163.1 24.00      0  66        0         0
#> 22.2  24.00      0  52        1         0
#> 116.1 24.00      0  58        0         1
#> 65.2  24.00      0  57        1         0
#> 152.2 24.00      0  36        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.585         NA        NA      NA
#> 2 age, Cure model           0.0110        NA        NA      NA
#> 3 grade_ii, Cure model     -0.232         NA        NA      NA
#> 4 grade_iii, Cure model     0.944         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00212        NA        NA      NA
#> 2 grade_ii, Survival model   1.23           NA        NA      NA
#> 3 grade_iii, Survival model  0.556          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.58549           0.01096          -0.23226           0.94394  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 247.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.58549294       0.01095971      -0.23225643       0.94393742 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.002123277      1.230185774      0.556347628 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.8232818 0.5971691 0.6318197 0.6480692 0.7937227 0.1777272 0.9955922
#>   [8] 0.9734154 0.7183731 0.8573866 0.5700400 0.1230787 0.3604201 0.4750363
#>  [15] 0.4954036 0.2943926 0.9207428 0.7873758 0.7937227 0.4277157 0.9056158
#>  [22] 0.9823695 0.8573866 0.9734154 0.6318197 0.2417868 0.6561594 0.7398814
#>  [29] 0.9257167 0.7327325 0.4519573 0.8517734 0.8114327 0.9157435 0.7937227
#>  [36] 0.2771577 0.5050897 0.6561594 0.9823695 0.7030522 0.7680315 0.9004810
#>  [43] 0.4519573 0.2943926 0.9257167 0.5519509 0.7107505 0.9597348 0.9405747
#>  [50] 0.1777272 0.7540729 0.3604201 0.4277157 0.8952632 0.9823695 0.4750363
#>  [57] 0.2417868 0.9688858 0.7680315 0.9503448 0.6147203 0.5791439 0.9056158
#>  [64] 0.8460581 0.5050897 0.5791439 0.7540729 0.5971691 0.0489275 0.9454967
#>  [71] 0.9356298 0.3604201 0.7680315 0.6234242 0.7398814 0.2199199 0.5241778
#>  [78] 0.8232818 0.0489275 0.6875793 0.8846820 0.8232818 0.8232818 0.1230787
#>  [85] 0.8685681 0.8846820 0.5241778 0.8740789 0.3275754 0.3604201 0.6797744
#>  [92] 0.9597348 0.7183731 0.5241778 0.0489275 0.8740789 0.8173760 0.9503448
#>  [99] 0.5519509 0.3275754 0.6875793 0.4147385 0.6718829 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>    57   108   110   117    18    86   127    77   192   155   179    78   194 
#> 14.46 18.29 17.56 17.46 15.21 23.81  3.53  7.27 16.44 13.08 18.63 23.88 22.40 
#>   190   158   113   159    29  18.1    99    43    91 155.1  77.1 110.1   164 
#> 20.81 20.14 22.86 10.55 15.45 15.21 21.19 12.10  5.33 13.08  7.27 17.56 23.60 
#>   111   100    10     5    90    60   180   107  18.2    92   105 111.1  91.1 
#> 17.45 16.07 10.53 16.43 20.94 13.15 14.82 11.18 15.21 22.92 19.75 17.45  5.33 
#>   130   167    49  90.1 113.1  10.1    76   181   149    61  86.1    39 194.1 
#> 16.47 15.55 12.19 20.94 22.86 10.53 19.22 16.46  8.37 10.12 23.81 15.59 22.40 
#>    36    37  91.2 190.1 164.1    70 167.1   183    51     8  43.1    13 105.1 
#> 21.19 12.52  5.33 20.81 23.60  7.38 15.55  9.24 18.23 18.43 12.10 14.34 19.75 
#>   8.1  39.1 108.1    24   145    52 194.2 167.2    40 100.1   168    55  57.1 
#> 18.43 15.59 18.29 23.89 10.07 10.42 22.40 15.55 18.00 16.07 23.72 19.34 14.46 
#>  24.1    23   177  57.2  57.3  78.1   123 177.1    58   140   169 194.3    45 
#> 23.89 16.92 12.53 14.46 14.46 23.88 13.00 12.53 19.34 12.68 22.41 22.40 17.42 
#> 149.1 192.1  58.1  24.2 140.1    96 183.1  76.1 169.1  23.1   197    30    75 
#>  8.37 16.44 19.34 23.89 12.68 14.54  9.24 19.22 22.41 16.92 21.60 17.43 24.00 
#>    12   144    82    48   147   102    46   162    27   131   151   120 147.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67    38   152    21   174   122    84   163   191   160 174.1   138 122.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103     9   116    11    65   142   118   156   185   176   104 120.1 160.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 176.1   196    53    83    22    33   112  48.1 196.1  82.1   126    47  46.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121   198 138.1  65.1    62    34 138.2 174.2  46.2    98  22.1 126.1    28 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20    80 120.2    31  75.1  20.1 196.2  34.1   148 152.1 174.3 160.2 162.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87  11.1 163.1  22.2 116.1  65.2 152.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[55]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.006624913               0.154259433               0.229387306 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.235213988             0.004188793            -0.198266793 
#>   grade_iii, Cure model 
#>             0.814774442 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 177   12.53      1  75        0         0
#> 125   15.65      1  67        1         0
#> 57    14.46      1  45        0         1
#> 40    18.00      1  28        1         0
#> 56    12.21      1  60        0         0
#> 97    19.14      1  65        0         1
#> 96    14.54      1  33        0         1
#> 15    22.68      1  48        0         0
#> 14    12.89      1  21        0         0
#> 110   17.56      1  65        0         1
#> 114   13.68      1  NA        0         0
#> 180   14.82      1  37        0         0
#> 139   21.49      1  63        1         0
#> 66    22.13      1  53        0         0
#> 128   20.35      1  35        0         1
#> 197   21.60      1  69        1         0
#> 5     16.43      1  51        0         1
#> 105   19.75      1  60        0         0
#> 16     8.71      1  71        0         1
#> 25     6.32      1  34        1         0
#> 58    19.34      1  39        0         0
#> 199   19.81      1  NA        0         1
#> 188   16.16      1  46        0         1
#> 32    20.90      1  37        1         0
#> 99    21.19      1  38        0         1
#> 140   12.68      1  59        1         0
#> 61    10.12      1  36        0         1
#> 159   10.55      1  50        0         1
#> 170   19.54      1  43        0         1
#> 184   17.77      1  38        0         0
#> 157   15.10      1  47        0         0
#> 189   10.51      1  NA        1         0
#> 52    10.42      1  52        0         1
#> 113   22.86      1  34        0         0
#> 63    22.77      1  31        1         0
#> 55    19.34      1  69        0         1
#> 130   16.47      1  53        0         1
#> 199.1 19.81      1  NA        0         1
#> 170.1 19.54      1  43        0         1
#> 16.1   8.71      1  71        0         1
#> 136   21.83      1  43        0         1
#> 184.1 17.77      1  38        0         0
#> 150   20.33      1  48        0         0
#> 169   22.41      1  46        0         0
#> 40.1  18.00      1  28        1         0
#> 107   11.18      1  54        1         0
#> 195   11.76      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 10    10.53      1  34        0         0
#> 199.2 19.81      1  NA        0         1
#> 101    9.97      1  10        0         1
#> 125.1 15.65      1  67        1         0
#> 18    15.21      1  49        1         0
#> 190   20.81      1  42        1         0
#> 77     7.27      1  67        0         1
#> 108   18.29      1  39        0         1
#> 77.1   7.27      1  67        0         1
#> 184.2 17.77      1  38        0         0
#> 86    23.81      1  58        0         1
#> 32.1  20.90      1  37        1         0
#> 76    19.22      1  54        0         1
#> 66.1  22.13      1  53        0         0
#> 43    12.10      1  61        0         1
#> 195.1 11.76      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 81    14.06      1  34        0         0
#> 114.1 13.68      1  NA        0         0
#> 100   16.07      1  60        0         0
#> 14.1  12.89      1  21        0         0
#> 92    22.92      1  47        0         1
#> 100.1 16.07      1  60        0         0
#> 29    15.45      1  68        1         0
#> 14.2  12.89      1  21        0         0
#> 195.2 11.76      1  NA        1         0
#> 15.1  22.68      1  48        0         0
#> 194   22.40      1  38        0         1
#> 63.1  22.77      1  31        1         0
#> 114.2 13.68      1  NA        0         0
#> 6     15.64      1  39        0         0
#> 124    9.73      1  NA        1         0
#> 8.1   18.43      1  32        0         0
#> 150.1 20.33      1  48        0         0
#> 79    16.23      1  54        1         0
#> 125.2 15.65      1  67        1         0
#> 66.2  22.13      1  53        0         0
#> 100.2 16.07      1  60        0         0
#> 117   17.46      1  26        0         1
#> 157.1 15.10      1  47        0         0
#> 55.1  19.34      1  69        0         1
#> 111   17.45      1  47        0         1
#> 188.1 16.16      1  46        0         1
#> 42    12.43      1  49        0         1
#> 10.1  10.53      1  34        0         0
#> 197.1 21.60      1  69        1         0
#> 40.2  18.00      1  28        1         0
#> 100.3 16.07      1  60        0         0
#> 14.3  12.89      1  21        0         0
#> 194.1 22.40      1  38        0         1
#> 133   14.65      1  57        0         0
#> 159.1 10.55      1  50        0         1
#> 4     17.64      1  NA        0         1
#> 25.1   6.32      1  34        1         0
#> 157.2 15.10      1  47        0         0
#> 91     5.33      1  61        0         1
#> 123   13.00      1  44        1         0
#> 145   10.07      1  65        1         0
#> 117.1 17.46      1  26        0         1
#> 128.1 20.35      1  35        0         1
#> 78.1  23.88      1  43        0         0
#> 81.1  14.06      1  34        0         0
#> 58.1  19.34      1  39        0         0
#> 189.1 10.51      1  NA        1         0
#> 132   24.00      0  55        0         0
#> 143   24.00      0  51        0         0
#> 94    24.00      0  51        0         1
#> 119   24.00      0  17        0         0
#> 80    24.00      0  41        0         0
#> 165   24.00      0  47        0         0
#> 131   24.00      0  66        0         0
#> 82    24.00      0  34        0         0
#> 119.1 24.00      0  17        0         0
#> 47    24.00      0  38        0         1
#> 121   24.00      0  57        1         0
#> 47.1  24.00      0  38        0         1
#> 31    24.00      0  36        0         1
#> 27    24.00      0  63        1         0
#> 119.2 24.00      0  17        0         0
#> 28    24.00      0  67        1         0
#> 84    24.00      0  39        0         1
#> 121.1 24.00      0  57        1         0
#> 161   24.00      0  45        0         0
#> 34    24.00      0  36        0         0
#> 34.1  24.00      0  36        0         0
#> 65    24.00      0  57        1         0
#> 2     24.00      0   9        0         0
#> 186   24.00      0  45        1         0
#> 9     24.00      0  31        1         0
#> 47.2  24.00      0  38        0         1
#> 72    24.00      0  40        0         1
#> 48    24.00      0  31        1         0
#> 112   24.00      0  61        0         0
#> 71    24.00      0  51        0         0
#> 94.1  24.00      0  51        0         1
#> 152   24.00      0  36        0         1
#> 12    24.00      0  63        0         0
#> 200   24.00      0  64        0         0
#> 152.1 24.00      0  36        0         1
#> 64    24.00      0  43        0         0
#> 53    24.00      0  32        0         1
#> 122   24.00      0  66        0         0
#> 22    24.00      0  52        1         0
#> 135   24.00      0  58        1         0
#> 142   24.00      0  53        0         0
#> 141   24.00      0  44        1         0
#> 87    24.00      0  27        0         0
#> 65.1  24.00      0  57        1         0
#> 118   24.00      0  44        1         0
#> 48.1  24.00      0  31        1         0
#> 72.1  24.00      0  40        0         1
#> 74    24.00      0  43        0         1
#> 165.1 24.00      0  47        0         0
#> 21    24.00      0  47        0         0
#> 115   24.00      0  NA        1         0
#> 83    24.00      0   6        0         0
#> 138   24.00      0  44        1         0
#> 160   24.00      0  31        1         0
#> 160.1 24.00      0  31        1         0
#> 163   24.00      0  66        0         0
#> 160.2 24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 33    24.00      0  53        0         0
#> 74.1  24.00      0  43        0         1
#> 54    24.00      0  53        1         0
#> 126   24.00      0  48        0         0
#> 95    24.00      0  68        0         1
#> 147   24.00      0  76        1         0
#> 172   24.00      0  41        0         0
#> 132.1 24.00      0  55        0         0
#> 165.2 24.00      0  47        0         0
#> 137   24.00      0  45        1         0
#> 132.2 24.00      0  55        0         0
#> 162   24.00      0  51        0         0
#> 27.1  24.00      0  63        1         0
#> 65.2  24.00      0  57        1         0
#> 71.1  24.00      0  51        0         0
#> 3     24.00      0  31        1         0
#> 27.2  24.00      0  63        1         0
#> 83.1  24.00      0   6        0         0
#> 46    24.00      0  71        0         0
#> 121.2 24.00      0  57        1         0
#> 98    24.00      0  34        1         0
#> 151   24.00      0  42        0         0
#> 75    24.00      0  21        1         0
#> 186.1 24.00      0  45        1         0
#> 102   24.00      0  49        0         0
#> 33.1  24.00      0  53        0         0
#> 126.1 24.00      0  48        0         0
#> 12.1  24.00      0  63        0         0
#> 34.2  24.00      0  36        0         0
#> 120.1 24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.235          NA        NA      NA
#> 2 age, Cure model          0.00419        NA        NA      NA
#> 3 grade_ii, Cure model    -0.198          NA        NA      NA
#> 4 grade_iii, Cure model    0.815          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00662        NA        NA      NA
#> 2 grade_ii, Survival model   0.154          NA        NA      NA
#> 3 grade_iii, Survival model  0.229          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.235214          0.004189         -0.198267          0.814774  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    257.1 
#> Residual Deviance: 249.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.235213988      0.004188793     -0.198266793      0.814774442 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.006624913      0.154259433      0.229387306 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.86463389 0.71020124 0.80000977 0.55213086 0.87882561 0.51563396
#>   [7] 0.79265387 0.18885587 0.82904463 0.60430162 0.77783241 0.33981162
#>  [13] 0.26403710 0.39669121 0.31580956 0.64669440 0.43872744 0.95427647
#>  [19] 0.98055522 0.46911463 0.66317912 0.36335049 0.35170270 0.85747876
#>  [25] 0.93401347 0.89983108 0.44914211 0.57838450 0.75570602 0.92719832
#>  [31] 0.13616104 0.15564771 0.46911463 0.63833570 0.44914211 0.95427647
#>  [37] 0.30271662 0.57838450 0.41790702 0.22003037 0.55213086 0.89286998
#>  [43] 0.52488017 0.91354059 0.94754601 0.71020124 0.74817606 0.38558481
#>  [49] 0.96750154 0.54305989 0.96750154 0.57838450 0.09287449 0.36335049
#>  [55] 0.50623012 0.26403710 0.88587240 0.04377829 0.80731898 0.67921446
#>  [61] 0.82904463 0.11595012 0.67921446 0.74059927 0.82904463 0.18885587
#>  [67] 0.23580016 0.15564771 0.73295752 0.52488017 0.41790702 0.65497144
#>  [73] 0.71020124 0.26403710 0.67921446 0.61294993 0.75570602 0.46911463
#>  [79] 0.62988997 0.66317912 0.87175113 0.91354059 0.31580956 0.55213086
#>  [85] 0.67921446 0.82904463 0.23580016 0.78525918 0.89983108 0.98055522
#>  [91] 0.75570602 0.99352918 0.82180528 0.94079908 0.61294993 0.39669121
#>  [97] 0.04377829 0.80731898 0.46911463 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   177   125    57    40    56    97    96    15    14   110   180   139    66 
#> 12.53 15.65 14.46 18.00 12.21 19.14 14.54 22.68 12.89 17.56 14.82 21.49 22.13 
#>   128   197     5   105    16    25    58   188    32    99   140    61   159 
#> 20.35 21.60 16.43 19.75  8.71  6.32 19.34 16.16 20.90 21.19 12.68 10.12 10.55 
#>   170   184   157    52   113    63    55   130 170.1  16.1   136 184.1   150 
#> 19.54 17.77 15.10 10.42 22.86 22.77 19.34 16.47 19.54  8.71 21.83 17.77 20.33 
#>   169  40.1   107     8    10   101 125.1    18   190    77   108  77.1 184.2 
#> 22.41 18.00 11.18 18.43 10.53  9.97 15.65 15.21 20.81  7.27 18.29  7.27 17.77 
#>    86  32.1    76  66.1    43    78    81   100  14.1    92 100.1    29  14.2 
#> 23.81 20.90 19.22 22.13 12.10 23.88 14.06 16.07 12.89 22.92 16.07 15.45 12.89 
#>  15.1   194  63.1     6   8.1 150.1    79 125.2  66.2 100.2   117 157.1  55.1 
#> 22.68 22.40 22.77 15.64 18.43 20.33 16.23 15.65 22.13 16.07 17.46 15.10 19.34 
#>   111 188.1    42  10.1 197.1  40.2 100.3  14.3 194.1   133 159.1  25.1 157.2 
#> 17.45 16.16 12.43 10.53 21.60 18.00 16.07 12.89 22.40 14.65 10.55  6.32 15.10 
#>    91   123   145 117.1 128.1  78.1  81.1  58.1   132   143    94   119    80 
#>  5.33 13.00 10.07 17.46 20.35 23.88 14.06 19.34 24.00 24.00 24.00 24.00 24.00 
#>   165   131    82 119.1    47   121  47.1    31    27 119.2    28    84 121.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161    34  34.1    65     2   186     9  47.2    72    48   112    71  94.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152    12   200 152.1    64    53   122    22   135   142   141    87  65.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118  48.1  72.1    74 165.1    21    83   138   160 160.1   163 160.2   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33  74.1    54   126    95   147   172 132.1 165.2   137 132.2   162  27.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.2  71.1     3  27.2  83.1    46 121.2    98   151    75 186.1   102  33.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 126.1  12.1  34.2 120.1 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[56]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.007964796               0.493175935               0.558619531 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.02999860              0.01919188              0.22796488 
#>   grade_iii, Cure model 
#>              0.91783480 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 139   21.49      1  63        1         0
#> 24    23.89      1  38        0         0
#> 69    23.23      1  25        0         1
#> 88    18.37      1  47        0         0
#> 133   14.65      1  57        0         0
#> 108   18.29      1  39        0         1
#> 90    20.94      1  50        0         1
#> 101    9.97      1  10        0         1
#> 61    10.12      1  36        0         1
#> 49    12.19      1  48        1         0
#> 154   12.63      1  20        1         0
#> 110   17.56      1  65        0         1
#> 189   10.51      1  NA        1         0
#> 155   13.08      1  26        0         0
#> 99    21.19      1  38        0         1
#> 79    16.23      1  54        1         0
#> 97    19.14      1  65        0         1
#> 85    16.44      1  36        0         0
#> 77     7.27      1  67        0         1
#> 16     8.71      1  71        0         1
#> 88.1  18.37      1  47        0         0
#> 153   21.33      1  55        1         0
#> 76    19.22      1  54        0         1
#> 133.1 14.65      1  57        0         0
#> 8     18.43      1  32        0         0
#> 169   22.41      1  46        0         0
#> 157   15.10      1  47        0         0
#> 91     5.33      1  61        0         1
#> 149    8.37      1  33        1         0
#> 89    11.44      1  NA        0         0
#> 39    15.59      1  37        0         1
#> 13    14.34      1  54        0         1
#> 78    23.88      1  43        0         0
#> 166   19.98      1  48        0         0
#> 29    15.45      1  68        1         0
#> 127    3.53      1  62        0         1
#> 51    18.23      1  83        0         1
#> 86    23.81      1  58        0         1
#> 159   10.55      1  50        0         1
#> 37    12.52      1  57        1         0
#> 167   15.55      1  56        1         0
#> 139.1 21.49      1  63        1         0
#> 77.1   7.27      1  67        0         1
#> 188   16.16      1  46        0         1
#> 129   23.41      1  53        1         0
#> 164   23.60      1  76        0         1
#> 130   16.47      1  53        0         1
#> 77.2   7.27      1  67        0         1
#> 42    12.43      1  49        0         1
#> 93    10.33      1  52        0         1
#> 159.1 10.55      1  50        0         1
#> 69.1  23.23      1  25        0         1
#> 8.1   18.43      1  32        0         0
#> 56    12.21      1  60        0         0
#> 77.3   7.27      1  67        0         1
#> 107   11.18      1  54        1         0
#> 63    22.77      1  31        1         0
#> 49.1  12.19      1  48        1         0
#> 158   20.14      1  74        1         0
#> 100   16.07      1  60        0         0
#> 117   17.46      1  26        0         1
#> 195   11.76      1  NA        1         0
#> 145   10.07      1  65        1         0
#> 195.1 11.76      1  NA        1         0
#> 23    16.92      1  61        0         0
#> 190   20.81      1  42        1         0
#> 187    9.92      1  39        1         0
#> 37.1  12.52      1  57        1         0
#> 194   22.40      1  38        0         1
#> 15    22.68      1  48        0         0
#> 181   16.46      1  45        0         1
#> 61.1  10.12      1  36        0         1
#> 36    21.19      1  48        0         1
#> 24.1  23.89      1  38        0         0
#> 85.1  16.44      1  36        0         0
#> 58    19.34      1  39        0         0
#> 105   19.75      1  60        0         0
#> 159.2 10.55      1  50        0         1
#> 37.2  12.52      1  57        1         0
#> 78.1  23.88      1  43        0         0
#> 37.3  12.52      1  57        1         0
#> 57    14.46      1  45        0         1
#> 158.1 20.14      1  74        1         0
#> 43    12.10      1  61        0         1
#> 140   12.68      1  59        1         0
#> 24.2  23.89      1  38        0         0
#> 188.1 16.16      1  46        0         1
#> 166.1 19.98      1  48        0         0
#> 190.1 20.81      1  42        1         0
#> 37.4  12.52      1  57        1         0
#> 99.1  21.19      1  38        0         1
#> 111   17.45      1  47        0         1
#> 180   14.82      1  37        0         0
#> 180.1 14.82      1  37        0         0
#> 69.2  23.23      1  25        0         1
#> 101.1  9.97      1  10        0         1
#> 77.4   7.27      1  67        0         1
#> 10    10.53      1  34        0         0
#> 134   17.81      1  47        1         0
#> 97.1  19.14      1  65        0         1
#> 79.1  16.23      1  54        1         0
#> 18    15.21      1  49        1         0
#> 16.1   8.71      1  71        0         1
#> 93.1  10.33      1  52        0         1
#> 14    12.89      1  21        0         0
#> 170   19.54      1  43        0         1
#> 18.1  15.21      1  49        1         0
#> 106   16.67      1  49        1         0
#> 108.1 18.29      1  39        0         1
#> 39.1  15.59      1  37        0         1
#> 41    18.02      1  40        1         0
#> 180.2 14.82      1  37        0         0
#> 156   24.00      0  50        1         0
#> 198   24.00      0  66        0         1
#> 71    24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 163   24.00      0  66        0         0
#> 2     24.00      0   9        0         0
#> 172   24.00      0  41        0         0
#> 71.1  24.00      0  51        0         0
#> 176   24.00      0  43        0         1
#> 152   24.00      0  36        0         1
#> 31    24.00      0  36        0         1
#> 1     24.00      0  23        1         0
#> 87    24.00      0  27        0         0
#> 109   24.00      0  48        0         0
#> 94    24.00      0  51        0         1
#> 172.1 24.00      0  41        0         0
#> 131   24.00      0  66        0         0
#> 104   24.00      0  50        1         0
#> 2.1   24.00      0   9        0         0
#> 82    24.00      0  34        0         0
#> 17    24.00      0  38        0         1
#> 142   24.00      0  53        0         0
#> 1.1   24.00      0  23        1         0
#> 119   24.00      0  17        0         0
#> 196   24.00      0  19        0         0
#> 116   24.00      0  58        0         1
#> 118   24.00      0  44        1         0
#> 182   24.00      0  35        0         0
#> 147   24.00      0  76        1         0
#> 142.1 24.00      0  53        0         0
#> 198.1 24.00      0  66        0         1
#> 12    24.00      0  63        0         0
#> 83    24.00      0   6        0         0
#> 196.1 24.00      0  19        0         0
#> 162   24.00      0  51        0         0
#> 33    24.00      0  53        0         0
#> 185   24.00      0  44        1         0
#> 162.1 24.00      0  51        0         0
#> 38    24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 119.1 24.00      0  17        0         0
#> 95    24.00      0  68        0         1
#> 174   24.00      0  49        1         0
#> 3     24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 196.2 24.00      0  19        0         0
#> 17.1  24.00      0  38        0         1
#> 7     24.00      0  37        1         0
#> 102   24.00      0  49        0         0
#> 174.1 24.00      0  49        1         0
#> 74    24.00      0  43        0         1
#> 115   24.00      0  NA        1         0
#> 9.1   24.00      0  31        1         0
#> 82.1  24.00      0  34        0         0
#> 186   24.00      0  45        1         0
#> 2.2   24.00      0   9        0         0
#> 116.1 24.00      0  58        0         1
#> 82.2  24.00      0  34        0         0
#> 165   24.00      0  47        0         0
#> 83.1  24.00      0   6        0         0
#> 19    24.00      0  57        0         1
#> 174.2 24.00      0  49        1         0
#> 115.1 24.00      0  NA        1         0
#> 174.3 24.00      0  49        1         0
#> 83.2  24.00      0   6        0         0
#> 87.1  24.00      0  27        0         0
#> 19.1  24.00      0  57        0         1
#> 137   24.00      0  45        1         0
#> 95.1  24.00      0  68        0         1
#> 84    24.00      0  39        0         1
#> 65    24.00      0  57        1         0
#> 94.1  24.00      0  51        0         1
#> 196.3 24.00      0  19        0         0
#> 27.1  24.00      0  63        1         0
#> 71.2  24.00      0  51        0         0
#> 87.2  24.00      0  27        0         0
#> 3.1   24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 94.2  24.00      0  51        0         1
#> 74.1  24.00      0  43        0         1
#> 146   24.00      0  63        1         0
#> 141   24.00      0  44        1         0
#> 198.2 24.00      0  66        0         1
#> 46    24.00      0  71        0         0
#> 185.1 24.00      0  44        1         0
#> 165.1 24.00      0  47        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.03          NA        NA      NA
#> 2 age, Cure model           0.0192        NA        NA      NA
#> 3 grade_ii, Cure model      0.228         NA        NA      NA
#> 4 grade_iii, Cure model     0.918         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00796        NA        NA      NA
#> 2 grade_ii, Survival model   0.493          NA        NA      NA
#> 3 grade_iii, Survival model  0.559          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.03000           0.01919           0.22796           0.91783  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    266.4 
#> Residual Deviance: 253 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.02999860       0.01919188       0.22796488       0.91783480 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.007964796      0.493175935      0.558619531 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.4089870 0.0853214 0.3057057 0.6070090 0.8053904 0.6224021 0.4763715
#>   [8] 0.9446786 0.9310702 0.8836540 0.8433834 0.6588192 0.8272632 0.4452236
#>  [15] 0.7182553 0.5757444 0.7055607 0.9711367 0.9580707 0.6070090 0.4333737
#>  [22] 0.5674012 0.8053904 0.5914366 0.3806851 0.7832059 0.9917719 0.9667896
#>  [29] 0.7486918 0.8218589 0.1786224 0.5237971 0.7662544 0.9959018 0.6372854
#>  [36] 0.2389101 0.9031344 0.8486868 0.7604318 0.4089870 0.9711367 0.7306183
#>  [43] 0.2864275 0.2649900 0.6926419 0.9711367 0.8736583 0.9218602 0.9031344
#>  [50] 0.3057057 0.5914366 0.8786649 0.9711367 0.8983119 0.3509129 0.8836540
#>  [57] 0.5058756 0.7426709 0.6657478 0.9401606 0.6793351 0.4866227 0.9536169
#>  [64] 0.8486868 0.3951820 0.3659399 0.6991461 0.9310702 0.4452236 0.0853214
#>  [71] 0.7055607 0.5588458 0.5414377 0.9031344 0.8486868 0.1786224 0.8486868
#>  [78] 0.8163940 0.5058756 0.8934498 0.8380492 0.0853214 0.7306183 0.5237971
#>  [85] 0.4866227 0.8486868 0.4452236 0.6725944 0.7888119 0.7888119 0.3057057
#>  [92] 0.9446786 0.9711367 0.9171663 0.6517469 0.5757444 0.7182553 0.7719977
#>  [99] 0.9580707 0.9218602 0.8326594 0.5502424 0.7719977 0.6860343 0.6224021
#> [106] 0.7486918 0.6445669 0.7888119 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [190] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>   139    24    69    88   133   108    90   101    61    49   154   110   155 
#> 21.49 23.89 23.23 18.37 14.65 18.29 20.94  9.97 10.12 12.19 12.63 17.56 13.08 
#>    99    79    97    85    77    16  88.1   153    76 133.1     8   169   157 
#> 21.19 16.23 19.14 16.44  7.27  8.71 18.37 21.33 19.22 14.65 18.43 22.41 15.10 
#>    91   149    39    13    78   166    29   127    51    86   159    37   167 
#>  5.33  8.37 15.59 14.34 23.88 19.98 15.45  3.53 18.23 23.81 10.55 12.52 15.55 
#> 139.1  77.1   188   129   164   130  77.2    42    93 159.1  69.1   8.1    56 
#> 21.49  7.27 16.16 23.41 23.60 16.47  7.27 12.43 10.33 10.55 23.23 18.43 12.21 
#>  77.3   107    63  49.1   158   100   117   145    23   190   187  37.1   194 
#>  7.27 11.18 22.77 12.19 20.14 16.07 17.46 10.07 16.92 20.81  9.92 12.52 22.40 
#>    15   181  61.1    36  24.1  85.1    58   105 159.2  37.2  78.1  37.3    57 
#> 22.68 16.46 10.12 21.19 23.89 16.44 19.34 19.75 10.55 12.52 23.88 12.52 14.46 
#> 158.1    43   140  24.2 188.1 166.1 190.1  37.4  99.1   111   180 180.1  69.2 
#> 20.14 12.10 12.68 23.89 16.16 19.98 20.81 12.52 21.19 17.45 14.82 14.82 23.23 
#> 101.1  77.4    10   134  97.1  79.1    18  16.1  93.1    14   170  18.1   106 
#>  9.97  7.27 10.53 17.81 19.14 16.23 15.21  8.71 10.33 12.89 19.54 15.21 16.67 
#> 108.1  39.1    41 180.2   156   198    71   126   163     2   172  71.1   176 
#> 18.29 15.59 18.02 14.82 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152    31     1    87   109    94 172.1   131   104   2.1    82    17   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   1.1   119   196   116   118   182   147 142.1 198.1    12    83 196.1   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33   185 162.1    38     9   138    27 119.1    95   174     3    28 196.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  17.1     7   102 174.1    74   9.1  82.1   186   2.2 116.1  82.2   165  83.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19 174.2 174.3  83.2  87.1  19.1   137  95.1    84    65  94.1 196.3  27.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  71.2  87.2   3.1    53  94.2  74.1   146   141 198.2    46 185.1 165.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[57]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01342448                0.84470089                0.47535330 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.059437697            -0.003339332            -0.111654447 
#>   grade_iii, Cure model 
#>             1.094841878 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 181   16.46      1  45        0         1
#> 55    19.34      1  69        0         1
#> 79    16.23      1  54        1         0
#> 168   23.72      1  70        0         0
#> 49    12.19      1  48        1         0
#> 175   21.91      1  43        0         0
#> 55.1  19.34      1  69        0         1
#> 192   16.44      1  31        1         0
#> 79.1  16.23      1  54        1         0
#> 70     7.38      1  30        1         0
#> 194   22.40      1  38        0         1
#> 167   15.55      1  56        1         0
#> 26    15.77      1  49        0         1
#> 155   13.08      1  26        0         0
#> 90    20.94      1  50        0         1
#> 57    14.46      1  45        0         1
#> 89    11.44      1  NA        0         0
#> 30    17.43      1  78        0         0
#> 37    12.52      1  57        1         0
#> 76    19.22      1  54        0         1
#> 90.1  20.94      1  50        0         1
#> 110   17.56      1  65        0         1
#> 106   16.67      1  49        1         0
#> 88    18.37      1  47        0         0
#> 187    9.92      1  39        1         0
#> 90.2  20.94      1  50        0         1
#> 101    9.97      1  10        0         1
#> 194.1 22.40      1  38        0         1
#> 6     15.64      1  39        0         0
#> 15    22.68      1  48        0         0
#> 127    3.53      1  62        0         1
#> 166   19.98      1  48        0         0
#> 130   16.47      1  53        0         1
#> 167.1 15.55      1  56        1         0
#> 85    16.44      1  36        0         0
#> 57.1  14.46      1  45        0         1
#> 101.1  9.97      1  10        0         1
#> 197   21.60      1  69        1         0
#> 190   20.81      1  42        1         0
#> 167.2 15.55      1  56        1         0
#> 66    22.13      1  53        0         0
#> 57.2  14.46      1  45        0         1
#> 15.1  22.68      1  48        0         0
#> 187.1  9.92      1  39        1         0
#> 16     8.71      1  71        0         1
#> 37.1  12.52      1  57        1         0
#> 127.1  3.53      1  62        0         1
#> 51    18.23      1  83        0         1
#> 36    21.19      1  48        0         1
#> 16.1   8.71      1  71        0         1
#> 100   16.07      1  60        0         0
#> 195   11.76      1  NA        1         0
#> 190.1 20.81      1  42        1         0
#> 96    14.54      1  33        0         1
#> 150   20.33      1  48        0         0
#> 108   18.29      1  39        0         1
#> 123   13.00      1  44        1         0
#> 108.1 18.29      1  39        0         1
#> 90.3  20.94      1  50        0         1
#> 70.1   7.38      1  30        1         0
#> 197.1 21.60      1  69        1         0
#> 96.1  14.54      1  33        0         1
#> 157   15.10      1  47        0         0
#> 113   22.86      1  34        0         0
#> 14    12.89      1  21        0         0
#> 36.1  21.19      1  48        0         1
#> 88.1  18.37      1  47        0         0
#> 61    10.12      1  36        0         1
#> 78    23.88      1  43        0         0
#> 139   21.49      1  63        1         0
#> 100.1 16.07      1  60        0         0
#> 5     16.43      1  51        0         1
#> 134   17.81      1  47        1         0
#> 69    23.23      1  25        0         1
#> 114   13.68      1  NA        0         0
#> 171   16.57      1  41        0         1
#> 127.2  3.53      1  62        0         1
#> 150.1 20.33      1  48        0         0
#> 70.2   7.38      1  30        1         0
#> 175.1 21.91      1  43        0         0
#> 110.1 17.56      1  65        0         1
#> 169   22.41      1  46        0         0
#> 4     17.64      1  NA        0         1
#> 61.1  10.12      1  36        0         1
#> 55.2  19.34      1  69        0         1
#> 130.1 16.47      1  53        0         1
#> 149    8.37      1  33        1         0
#> 68    20.62      1  44        0         0
#> 192.1 16.44      1  31        1         0
#> 101.2  9.97      1  10        0         1
#> 199   19.81      1  NA        0         1
#> 170   19.54      1  43        0         1
#> 175.2 21.91      1  43        0         0
#> 154   12.63      1  20        1         0
#> 70.3   7.38      1  30        1         0
#> 6.1   15.64      1  39        0         0
#> 164   23.60      1  76        0         1
#> 114.1 13.68      1  NA        0         0
#> 155.1 13.08      1  26        0         0
#> 8     18.43      1  32        0         0
#> 66.1  22.13      1  53        0         0
#> 175.3 21.91      1  43        0         0
#> 89.1  11.44      1  NA        0         0
#> 23    16.92      1  61        0         0
#> 56    12.21      1  60        0         0
#> 63    22.77      1  31        1         0
#> 86    23.81      1  58        0         1
#> 89.2  11.44      1  NA        0         0
#> 13    14.34      1  54        0         1
#> 134.1 17.81      1  47        1         0
#> 183    9.24      1  67        1         0
#> 139.1 21.49      1  63        1         0
#> 11    24.00      0  42        0         1
#> 174   24.00      0  49        1         0
#> 109   24.00      0  48        0         0
#> 65    24.00      0  57        1         0
#> 144   24.00      0  28        0         1
#> 198   24.00      0  66        0         1
#> 138   24.00      0  44        1         0
#> 186   24.00      0  45        1         0
#> 141   24.00      0  44        1         0
#> 186.1 24.00      0  45        1         0
#> 65.1  24.00      0  57        1         0
#> 80    24.00      0  41        0         0
#> 151   24.00      0  42        0         0
#> 94    24.00      0  51        0         1
#> 143   24.00      0  51        0         0
#> 122   24.00      0  66        0         0
#> 84    24.00      0  39        0         1
#> 121   24.00      0  57        1         0
#> 33    24.00      0  53        0         0
#> 118   24.00      0  44        1         0
#> 147   24.00      0  76        1         0
#> 48    24.00      0  31        1         0
#> 34    24.00      0  36        0         0
#> 118.1 24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 176   24.00      0  43        0         1
#> 138.1 24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 193   24.00      0  45        0         1
#> 148.1 24.00      0  61        1         0
#> 141.1 24.00      0  44        1         0
#> 148.2 24.00      0  61        1         0
#> 120   24.00      0  68        0         1
#> 109.1 24.00      0  48        0         0
#> 19    24.00      0  57        0         1
#> 156   24.00      0  50        1         0
#> 98    24.00      0  34        1         0
#> 72    24.00      0  40        0         1
#> 112   24.00      0  61        0         0
#> 21    24.00      0  47        0         0
#> 131   24.00      0  66        0         0
#> 121.1 24.00      0  57        1         0
#> 1     24.00      0  23        1         0
#> 22    24.00      0  52        1         0
#> 17    24.00      0  38        0         1
#> 95    24.00      0  68        0         1
#> 62    24.00      0  71        0         0
#> 22.1  24.00      0  52        1         0
#> 27.1  24.00      0  63        1         0
#> 186.2 24.00      0  45        1         0
#> 132   24.00      0  55        0         0
#> 94.1  24.00      0  51        0         1
#> 67    24.00      0  25        0         0
#> 137   24.00      0  45        1         0
#> 62.1  24.00      0  71        0         0
#> 87    24.00      0  27        0         0
#> 176.1 24.00      0  43        0         1
#> 80.1  24.00      0  41        0         0
#> 21.1  24.00      0  47        0         0
#> 102   24.00      0  49        0         0
#> 142   24.00      0  53        0         0
#> 160   24.00      0  31        1         0
#> 132.1 24.00      0  55        0         0
#> 109.2 24.00      0  48        0         0
#> 132.2 24.00      0  55        0         0
#> 182   24.00      0  35        0         0
#> 2     24.00      0   9        0         0
#> 82    24.00      0  34        0         0
#> 21.2  24.00      0  47        0         0
#> 135   24.00      0  58        1         0
#> 160.1 24.00      0  31        1         0
#> 2.1   24.00      0   9        0         0
#> 21.3  24.00      0  47        0         0
#> 119   24.00      0  17        0         0
#> 62.2  24.00      0  71        0         0
#> 120.1 24.00      0  68        0         1
#> 75    24.00      0  21        1         0
#> 160.2 24.00      0  31        1         0
#> 186.3 24.00      0  45        1         0
#> 71    24.00      0  51        0         0
#> 87.1  24.00      0  27        0         0
#> 135.1 24.00      0  58        1         0
#> 115   24.00      0  NA        1         0
#> 186.4 24.00      0  45        1         0
#> 196   24.00      0  19        0         0
#> 135.2 24.00      0  58        1         0
#> 178   24.00      0  52        1         0
#> 198.1 24.00      0  66        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.0594         NA        NA      NA
#> 2 age, Cure model         -0.00334        NA        NA      NA
#> 3 grade_ii, Cure model    -0.112          NA        NA      NA
#> 4 grade_iii, Cure model    1.09           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0134        NA        NA      NA
#> 2 grade_ii, Survival model    0.845         NA        NA      NA
#> 3 grade_iii, Survival model   0.475         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.059438         -0.003339         -0.111654          1.094842  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 251 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.059437697     -0.003339332     -0.111654447      1.094841878 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01342448       0.84470089       0.47535330 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.4633913809 0.2583432298 0.5166794503 0.0059098714 0.7934368170
#>   [6] 0.0802228676 0.2583432298 0.4743250027 0.5166794503 0.9257038154
#>  [11] 0.0528303204 0.5927870871 0.5596445442 0.7033257224 0.1616790382
#>  [16] 0.6588725027 0.3987583631 0.7598685047 0.2867597140 0.1616790382
#>  [21] 0.3780466460 0.4202689279 0.3066321754 0.8598923302 0.1616790382
#>  [26] 0.8270855548 0.0528303204 0.5706478812 0.0340056017 0.9678773818
#>  [31] 0.2394792549 0.4418428222 0.5927870871 0.4743250027 0.6588725027
#>  [36] 0.8270855548 0.1109438169 0.1953286253 0.5927870871 0.0658004347
#>  [41] 0.6588725027 0.0340056017 0.8598923302 0.8926698660 0.7598685047
#>  [46] 0.9678773818 0.3472347826 0.1445577646 0.8926698660 0.5379247318
#>  [51] 0.1953286253 0.6367032611 0.2213518388 0.3269036214 0.7259162691
#>  [56] 0.3269036214 0.1616790382 0.9257038154 0.1109438169 0.6367032611
#>  [61] 0.6255075463 0.0222186547 0.7372494169 0.1445577646 0.3066321754
#>  [66] 0.8047039978 0.0004612388 0.1277480366 0.5379247318 0.5058883177
#>  [71] 0.3577005358 0.0165862364 0.4310461096 0.9678773818 0.2213518388
#>  [76] 0.9257038154 0.0802228676 0.3780466460 0.0459602039 0.8047039978
#>  [81] 0.2583432298 0.4418428222 0.9146917290 0.2124486545 0.4743250027
#>  [86] 0.8270855548 0.2488939092 0.0802228676 0.7486255276 0.9257038154
#>  [91] 0.5706478812 0.0106774806 0.7033257224 0.2966378219 0.0658004347
#>  [96] 0.0802228676 0.4094346686 0.7821340394 0.0284344856 0.0027381953
#> [101] 0.6920459091 0.3577005358 0.8816936834 0.1277480366 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [191] 0.0000000000
#> 
#> $Time
#>   181    55    79   168    49   175  55.1   192  79.1    70   194   167    26 
#> 16.46 19.34 16.23 23.72 12.19 21.91 19.34 16.44 16.23  7.38 22.40 15.55 15.77 
#>   155    90    57    30    37    76  90.1   110   106    88   187  90.2   101 
#> 13.08 20.94 14.46 17.43 12.52 19.22 20.94 17.56 16.67 18.37  9.92 20.94  9.97 
#> 194.1     6    15   127   166   130 167.1    85  57.1 101.1   197   190 167.2 
#> 22.40 15.64 22.68  3.53 19.98 16.47 15.55 16.44 14.46  9.97 21.60 20.81 15.55 
#>    66  57.2  15.1 187.1    16  37.1 127.1    51    36  16.1   100 190.1    96 
#> 22.13 14.46 22.68  9.92  8.71 12.52  3.53 18.23 21.19  8.71 16.07 20.81 14.54 
#>   150   108   123 108.1  90.3  70.1 197.1  96.1   157   113    14  36.1  88.1 
#> 20.33 18.29 13.00 18.29 20.94  7.38 21.60 14.54 15.10 22.86 12.89 21.19 18.37 
#>    61    78   139 100.1     5   134    69   171 127.2 150.1  70.2 175.1 110.1 
#> 10.12 23.88 21.49 16.07 16.43 17.81 23.23 16.57  3.53 20.33  7.38 21.91 17.56 
#>   169  61.1  55.2 130.1   149    68 192.1 101.2   170 175.2   154  70.3   6.1 
#> 22.41 10.12 19.34 16.47  8.37 20.62 16.44  9.97 19.54 21.91 12.63  7.38 15.64 
#>   164 155.1     8  66.1 175.3    23    56    63    86    13 134.1   183 139.1 
#> 23.60 13.08 18.43 22.13 21.91 16.92 12.21 22.77 23.81 14.34 17.81  9.24 21.49 
#>    11   174   109    65   144   198   138   186   141 186.1  65.1    80   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94   143   122    84   121    33   118   147    48    34 118.1    27   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 138.1   148   193 148.1 141.1 148.2   120 109.1    19   156    98    72   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21   131 121.1     1    22    17    95    62  22.1  27.1 186.2   132  94.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67   137  62.1    87 176.1  80.1  21.1   102   142   160 132.1 109.2 132.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182     2    82  21.2   135 160.1   2.1  21.3   119  62.2 120.1    75 160.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 186.3    71  87.1 135.1 186.4   196 135.2   178 198.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[58]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01571924                1.35381441                0.78253926 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.86967314              0.01355625              0.08233981 
#>   grade_iii, Cure model 
#>              0.96454141 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 183    9.24      1  67        1         0
#> 101    9.97      1  10        0         1
#> 43    12.10      1  61        0         1
#> 184   17.77      1  38        0         0
#> 14    12.89      1  21        0         0
#> 183.1  9.24      1  67        1         0
#> 10    10.53      1  34        0         0
#> 18    15.21      1  49        1         0
#> 111   17.45      1  47        0         1
#> 130   16.47      1  53        0         1
#> 50    10.02      1  NA        1         0
#> 16     8.71      1  71        0         1
#> 90    20.94      1  50        0         1
#> 45    17.42      1  54        0         1
#> 68    20.62      1  44        0         0
#> 61    10.12      1  36        0         1
#> 5     16.43      1  51        0         1
#> 61.1  10.12      1  36        0         1
#> 24    23.89      1  38        0         0
#> 124    9.73      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 158   20.14      1  74        1         0
#> 111.1 17.45      1  47        0         1
#> 5.1   16.43      1  51        0         1
#> 97    19.14      1  65        0         1
#> 170   19.54      1  43        0         1
#> 77     7.27      1  67        0         1
#> 40    18.00      1  28        1         0
#> 55    19.34      1  69        0         1
#> 50.1  10.02      1  NA        1         0
#> 164   23.60      1  76        0         1
#> 166   19.98      1  48        0         0
#> 61.2  10.12      1  36        0         1
#> 25     6.32      1  34        1         0
#> 197   21.60      1  69        1         0
#> 107   11.18      1  54        1         0
#> 57    14.46      1  45        0         1
#> 45.1  17.42      1  54        0         1
#> 97.1  19.14      1  65        0         1
#> 195   11.76      1  NA        1         0
#> 15    22.68      1  48        0         0
#> 154   12.63      1  20        1         0
#> 110   17.56      1  65        0         1
#> 39    15.59      1  37        0         1
#> 99    21.19      1  38        0         1
#> 78.1  23.88      1  43        0         0
#> 194   22.40      1  38        0         1
#> 164.1 23.60      1  76        0         1
#> 177   12.53      1  75        0         0
#> 51    18.23      1  83        0         1
#> 125   15.65      1  67        1         0
#> 5.2   16.43      1  51        0         1
#> 8     18.43      1  32        0         0
#> 199   19.81      1  NA        0         1
#> 110.1 17.56      1  65        0         1
#> 86    23.81      1  58        0         1
#> 25.1   6.32      1  34        1         0
#> 155   13.08      1  26        0         0
#> 90.1  20.94      1  50        0         1
#> 18.1  15.21      1  49        1         0
#> 157   15.10      1  47        0         0
#> 154.1 12.63      1  20        1         0
#> 57.1  14.46      1  45        0         1
#> 90.2  20.94      1  50        0         1
#> 61.3  10.12      1  36        0         1
#> 117   17.46      1  26        0         1
#> 89    11.44      1  NA        0         0
#> 125.1 15.65      1  67        1         0
#> 60    13.15      1  38        1         0
#> 188   16.16      1  46        0         1
#> 99.1  21.19      1  38        0         1
#> 15.1  22.68      1  48        0         0
#> 123   13.00      1  44        1         0
#> 76    19.22      1  54        0         1
#> 66    22.13      1  53        0         0
#> 134   17.81      1  47        1         0
#> 170.1 19.54      1  43        0         1
#> 175   21.91      1  43        0         0
#> 183.2  9.24      1  67        1         0
#> 164.2 23.60      1  76        0         1
#> 32    20.90      1  37        1         0
#> 159   10.55      1  50        0         1
#> 149    8.37      1  33        1         0
#> 155.1 13.08      1  26        0         0
#> 189   10.51      1  NA        1         0
#> 4     17.64      1  NA        0         1
#> 99.2  21.19      1  38        0         1
#> 42    12.43      1  49        0         1
#> 57.2  14.46      1  45        0         1
#> 167   15.55      1  56        1         0
#> 140   12.68      1  59        1         0
#> 79    16.23      1  54        1         0
#> 158.1 20.14      1  74        1         0
#> 99.3  21.19      1  38        0         1
#> 133   14.65      1  57        0         0
#> 130.1 16.47      1  53        0         1
#> 45.2  17.42      1  54        0         1
#> 91     5.33      1  61        0         1
#> 153   21.33      1  55        1         0
#> 179   18.63      1  42        0         0
#> 42.1  12.43      1  49        0         1
#> 100   16.07      1  60        0         0
#> 4.1   17.64      1  NA        0         1
#> 184.1 17.77      1  38        0         0
#> 30    17.43      1  78        0         0
#> 76.1  19.22      1  54        0         1
#> 57.3  14.46      1  45        0         1
#> 108   18.29      1  39        0         1
#> 78.2  23.88      1  43        0         0
#> 113   22.86      1  34        0         0
#> 183.3  9.24      1  67        1         0
#> 97.2  19.14      1  65        0         1
#> 147   24.00      0  76        1         0
#> 152   24.00      0  36        0         1
#> 118   24.00      0  44        1         0
#> 74    24.00      0  43        0         1
#> 193   24.00      0  45        0         1
#> 173   24.00      0  19        0         1
#> 3     24.00      0  31        1         0
#> 83    24.00      0   6        0         0
#> 64    24.00      0  43        0         0
#> 22    24.00      0  52        1         0
#> 182   24.00      0  35        0         0
#> 31    24.00      0  36        0         1
#> 103   24.00      0  56        1         0
#> 48    24.00      0  31        1         0
#> 103.1 24.00      0  56        1         0
#> 62    24.00      0  71        0         0
#> 82    24.00      0  34        0         0
#> 118.1 24.00      0  44        1         0
#> 138   24.00      0  44        1         0
#> 102   24.00      0  49        0         0
#> 34    24.00      0  36        0         0
#> 176   24.00      0  43        0         1
#> 84    24.00      0  39        0         1
#> 71    24.00      0  51        0         0
#> 104   24.00      0  50        1         0
#> 147.1 24.00      0  76        1         0
#> 191   24.00      0  60        0         1
#> 174   24.00      0  49        1         0
#> 193.1 24.00      0  45        0         1
#> 131   24.00      0  66        0         0
#> 182.1 24.00      0  35        0         0
#> 72    24.00      0  40        0         1
#> 147.2 24.00      0  76        1         0
#> 103.2 24.00      0  56        1         0
#> 9     24.00      0  31        1         0
#> 126   24.00      0  48        0         0
#> 156   24.00      0  50        1         0
#> 132   24.00      0  55        0         0
#> 191.1 24.00      0  60        0         1
#> 161   24.00      0  45        0         0
#> 21    24.00      0  47        0         0
#> 148   24.00      0  61        1         0
#> 72.1  24.00      0  40        0         1
#> 193.2 24.00      0  45        0         1
#> 196   24.00      0  19        0         0
#> 80    24.00      0  41        0         0
#> 131.1 24.00      0  66        0         0
#> 176.1 24.00      0  43        0         1
#> 162   24.00      0  51        0         0
#> 104.1 24.00      0  50        1         0
#> 33    24.00      0  53        0         0
#> 121   24.00      0  57        1         0
#> 144   24.00      0  28        0         1
#> 196.1 24.00      0  19        0         0
#> 95    24.00      0  68        0         1
#> 112   24.00      0  61        0         0
#> 126.1 24.00      0  48        0         0
#> 48.1  24.00      0  31        1         0
#> 141   24.00      0  44        1         0
#> 196.2 24.00      0  19        0         0
#> 193.3 24.00      0  45        0         1
#> 44    24.00      0  56        0         0
#> 121.1 24.00      0  57        1         0
#> 126.2 24.00      0  48        0         0
#> 141.1 24.00      0  44        1         0
#> 156.1 24.00      0  50        1         0
#> 9.1   24.00      0  31        1         0
#> 44.1  24.00      0  56        0         0
#> 73    24.00      0  NA        0         1
#> 35    24.00      0  51        0         0
#> 72.2  24.00      0  40        0         1
#> 71.1  24.00      0  51        0         0
#> 102.1 24.00      0  49        0         0
#> 73.1  24.00      0  NA        0         1
#> 173.1 24.00      0  19        0         1
#> 174.1 24.00      0  49        1         0
#> 20    24.00      0  46        1         0
#> 120   24.00      0  68        0         1
#> 172   24.00      0  41        0         0
#> 198   24.00      0  66        0         1
#> 138.1 24.00      0  44        1         0
#> 94    24.00      0  51        0         1
#> 47    24.00      0  38        0         1
#> 73.2  24.00      0  NA        0         1
#> 38    24.00      0  31        1         0
#> 62.1  24.00      0  71        0         0
#> 74.1  24.00      0  43        0         1
#> 94.1  24.00      0  51        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.870         NA        NA      NA
#> 2 age, Cure model           0.0136        NA        NA      NA
#> 3 grade_ii, Cure model      0.0823        NA        NA      NA
#> 4 grade_iii, Cure model     0.965         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0157        NA        NA      NA
#> 2 grade_ii, Survival model    1.35          NA        NA      NA
#> 3 grade_iii, Survival model   0.783         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.86967           0.01356           0.08234           0.96454  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    258.9 
#> Residual Deviance: 247.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.86967314       0.01355625       0.08233981       0.96454141 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01571924       1.35381441       0.78253926 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.9100543982 0.9007671885 0.8260156373 0.4029542051 0.7591821034
#>   [6] 0.9100543982 0.8543864536 0.6401178462 0.4543390026 0.5160317172
#>  [11] 0.9461300915 0.1793591147 0.4851862027 0.2193830858 0.8638634594
#>  [16] 0.5368473370 0.8638634594 0.0007336476 0.0045155903 0.2295737405
#>  [21] 0.4543390026 0.5368473370 0.3095042622 0.2593508000 0.9643684925
#>  [26] 0.3825080253 0.2791852615 0.0268639197 0.2491472060 0.8638634594
#>  [31] 0.9734511345 0.1164800812 0.8355194486 0.6800635501 0.4851862027
#>  [36] 0.3095042622 0.0590711310 0.7789477878 0.4233759241 0.6195838182
#>  [41] 0.1404745791 0.0045155903 0.0804745380 0.0268639197 0.7976620432
#>  [46] 0.3717373194 0.5990447947 0.5368473370 0.3503885974 0.4233759241
#>  [51] 0.0191517067 0.9734511345 0.7294269989 0.1793591147 0.6401178462
#>  [56] 0.6598913949 0.7789477878 0.6800635501 0.1793591147 0.8638634594
#>  [61] 0.4440095423 0.5990447947 0.7195122473 0.5781851878 0.1404745791
#>  [66] 0.0590711310 0.7493017879 0.2893813833 0.0916785330 0.3928441106
#>  [71] 0.2593508000 0.1037149330 0.9100543982 0.0268639197 0.2094234442
#>  [76] 0.8449527706 0.9553060893 0.7294269989 0.1404745791 0.8071522472
#>  [81] 0.6800635501 0.6299015057 0.7690987052 0.5678004033 0.2295737405
#>  [86] 0.1404745791 0.6699325406 0.5160317172 0.4851862027 0.9911153351
#>  [91] 0.1288289153 0.3398128299 0.8071522472 0.5885585644 0.4029542051
#>  [96] 0.4747222792 0.2893813833 0.6800635501 0.3610920853 0.0045155903
#> [101] 0.0492958913 0.9100543982 0.3095042622 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>   183   101    43   184    14 183.1    10    18   111   130    16    90    45 
#>  9.24  9.97 12.10 17.77 12.89  9.24 10.53 15.21 17.45 16.47  8.71 20.94 17.42 
#>    68    61     5  61.1    24    78   158 111.1   5.1    97   170    77    40 
#> 20.62 10.12 16.43 10.12 23.89 23.88 20.14 17.45 16.43 19.14 19.54  7.27 18.00 
#>    55   164   166  61.2    25   197   107    57  45.1  97.1    15   154   110 
#> 19.34 23.60 19.98 10.12  6.32 21.60 11.18 14.46 17.42 19.14 22.68 12.63 17.56 
#>    39    99  78.1   194 164.1   177    51   125   5.2     8 110.1    86  25.1 
#> 15.59 21.19 23.88 22.40 23.60 12.53 18.23 15.65 16.43 18.43 17.56 23.81  6.32 
#>   155  90.1  18.1   157 154.1  57.1  90.2  61.3   117 125.1    60   188  99.1 
#> 13.08 20.94 15.21 15.10 12.63 14.46 20.94 10.12 17.46 15.65 13.15 16.16 21.19 
#>  15.1   123    76    66   134 170.1   175 183.2 164.2    32   159   149 155.1 
#> 22.68 13.00 19.22 22.13 17.81 19.54 21.91  9.24 23.60 20.90 10.55  8.37 13.08 
#>  99.2    42  57.2   167   140    79 158.1  99.3   133 130.1  45.2    91   153 
#> 21.19 12.43 14.46 15.55 12.68 16.23 20.14 21.19 14.65 16.47 17.42  5.33 21.33 
#>   179  42.1   100 184.1    30  76.1  57.3   108  78.2   113 183.3  97.2   147 
#> 18.63 12.43 16.07 17.77 17.43 19.22 14.46 18.29 23.88 22.86  9.24 19.14 24.00 
#>   152   118    74   193   173     3    83    64    22   182    31   103    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 103.1    62    82 118.1   138   102    34   176    84    71   104 147.1   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174 193.1   131 182.1    72 147.2 103.2     9   126   156   132 191.1   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21   148  72.1 193.2   196    80 131.1 176.1   162 104.1    33   121   144 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 196.1    95   112 126.1  48.1   141 196.2 193.3    44 121.1 126.2 141.1 156.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.1  44.1    35  72.2  71.1 102.1 173.1 174.1    20   120   172   198 138.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94    47    38  62.1  74.1  94.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[59]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.005564601               0.456483859               0.285692169 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.75885508              0.01165881              0.45460468 
#>   grade_iii, Cure model 
#>              0.75605855 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 159   10.55      1  50        0         1
#> 123   13.00      1  44        1         0
#> 58    19.34      1  39        0         0
#> 70     7.38      1  30        1         0
#> 4     17.64      1  NA        0         1
#> 51    18.23      1  83        0         1
#> 127    3.53      1  62        0         1
#> 130   16.47      1  53        0         1
#> 60    13.15      1  38        1         0
#> 187    9.92      1  39        1         0
#> 42    12.43      1  49        0         1
#> 150   20.33      1  48        0         0
#> 158   20.14      1  74        1         0
#> 76    19.22      1  54        0         1
#> 45    17.42      1  54        0         1
#> 69    23.23      1  25        0         1
#> 79    16.23      1  54        1         0
#> 30    17.43      1  78        0         0
#> 58.1  19.34      1  39        0         0
#> 117   17.46      1  26        0         1
#> 99    21.19      1  38        0         1
#> 111   17.45      1  47        0         1
#> 10    10.53      1  34        0         0
#> 26    15.77      1  49        0         1
#> 125   15.65      1  67        1         0
#> 125.1 15.65      1  67        1         0
#> 18    15.21      1  49        1         0
#> 56    12.21      1  60        0         0
#> 97    19.14      1  65        0         1
#> 79.1  16.23      1  54        1         0
#> 39    15.59      1  37        0         1
#> 113   22.86      1  34        0         0
#> 183    9.24      1  67        1         0
#> 124    9.73      1  NA        1         0
#> 86    23.81      1  58        0         1
#> 43    12.10      1  61        0         1
#> 199   19.81      1  NA        0         1
#> 169   22.41      1  46        0         0
#> 107   11.18      1  54        1         0
#> 130.1 16.47      1  53        0         1
#> 69.1  23.23      1  25        0         1
#> 105   19.75      1  60        0         0
#> 150.1 20.33      1  48        0         0
#> 15    22.68      1  48        0         0
#> 157   15.10      1  47        0         0
#> 6     15.64      1  39        0         0
#> 66    22.13      1  53        0         0
#> 111.1 17.45      1  47        0         1
#> 189   10.51      1  NA        1         0
#> 139   21.49      1  63        1         0
#> 50    10.02      1  NA        1         0
#> 30.1  17.43      1  78        0         0
#> 41    18.02      1  40        1         0
#> 166   19.98      1  48        0         0
#> 4.1   17.64      1  NA        0         1
#> 10.1  10.53      1  34        0         0
#> 57    14.46      1  45        0         1
#> 8     18.43      1  32        0         0
#> 89    11.44      1  NA        0         0
#> 8.1   18.43      1  32        0         0
#> 30.2  17.43      1  78        0         0
#> 68    20.62      1  44        0         0
#> 153   21.33      1  55        1         0
#> 8.2   18.43      1  32        0         0
#> 190   20.81      1  42        1         0
#> 159.1 10.55      1  50        0         1
#> 145   10.07      1  65        1         0
#> 180   14.82      1  37        0         0
#> 5     16.43      1  51        0         1
#> 58.2  19.34      1  39        0         0
#> 190.1 20.81      1  42        1         0
#> 39.1  15.59      1  37        0         1
#> 43.1  12.10      1  61        0         1
#> 45.1  17.42      1  54        0         1
#> 90    20.94      1  50        0         1
#> 79.2  16.23      1  54        1         0
#> 69.2  23.23      1  25        0         1
#> 60.1  13.15      1  38        1         0
#> 159.2 10.55      1  50        0         1
#> 134   17.81      1  47        1         0
#> 159.3 10.55      1  50        0         1
#> 159.4 10.55      1  50        0         1
#> 140   12.68      1  59        1         0
#> 108   18.29      1  39        0         1
#> 117.1 17.46      1  26        0         1
#> 92    22.92      1  47        0         1
#> 129   23.41      1  53        1         0
#> 60.2  13.15      1  38        1         0
#> 52    10.42      1  52        0         1
#> 26.1  15.77      1  49        0         1
#> 14    12.89      1  21        0         0
#> 29    15.45      1  68        1         0
#> 170   19.54      1  43        0         1
#> 155   13.08      1  26        0         0
#> 114   13.68      1  NA        0         0
#> 57.1  14.46      1  45        0         1
#> 195   11.76      1  NA        1         0
#> 70.1   7.38      1  30        1         0
#> 159.5 10.55      1  50        0         1
#> 158.1 20.14      1  74        1         0
#> 23    16.92      1  61        0         0
#> 78    23.88      1  43        0         0
#> 58.3  19.34      1  39        0         0
#> 91     5.33      1  61        0         1
#> 42.1  12.43      1  49        0         1
#> 114.1 13.68      1  NA        0         0
#> 100   16.07      1  60        0         0
#> 70.2   7.38      1  30        1         0
#> 149    8.37      1  33        1         0
#> 145.1 10.07      1  65        1         0
#> 8.3   18.43      1  32        0         0
#> 41.1  18.02      1  40        1         0
#> 17    24.00      0  38        0         1
#> 7     24.00      0  37        1         0
#> 2     24.00      0   9        0         0
#> 142   24.00      0  53        0         0
#> 193   24.00      0  45        0         1
#> 121   24.00      0  57        1         0
#> 103   24.00      0  56        1         0
#> 102   24.00      0  49        0         0
#> 87    24.00      0  27        0         0
#> 148   24.00      0  61        1         0
#> 185   24.00      0  44        1         0
#> 46    24.00      0  71        0         0
#> 109   24.00      0  48        0         0
#> 67    24.00      0  25        0         0
#> 46.1  24.00      0  71        0         0
#> 11    24.00      0  42        0         1
#> 121.1 24.00      0  57        1         0
#> 119   24.00      0  17        0         0
#> 83    24.00      0   6        0         0
#> 135   24.00      0  58        1         0
#> 74    24.00      0  43        0         1
#> 126   24.00      0  48        0         0
#> 80    24.00      0  41        0         0
#> 148.1 24.00      0  61        1         0
#> 46.2  24.00      0  71        0         0
#> 7.1   24.00      0  37        1         0
#> 62    24.00      0  71        0         0
#> 19    24.00      0  57        0         1
#> 198   24.00      0  66        0         1
#> 182   24.00      0  35        0         0
#> 82    24.00      0  34        0         0
#> 87.1  24.00      0  27        0         0
#> 47    24.00      0  38        0         1
#> 200   24.00      0  64        0         0
#> 95    24.00      0  68        0         1
#> 84    24.00      0  39        0         1
#> 47.1  24.00      0  38        0         1
#> 196   24.00      0  19        0         0
#> 161   24.00      0  45        0         0
#> 146   24.00      0  63        1         0
#> 84.1  24.00      0  39        0         1
#> 17.1  24.00      0  38        0         1
#> 7.2   24.00      0  37        1         0
#> 87.2  24.00      0  27        0         0
#> 54    24.00      0  53        1         0
#> 162   24.00      0  51        0         0
#> 196.1 24.00      0  19        0         0
#> 191   24.00      0  60        0         1
#> 198.1 24.00      0  66        0         1
#> 28    24.00      0  67        1         0
#> 83.1  24.00      0   6        0         0
#> 53    24.00      0  32        0         1
#> 54.1  24.00      0  53        1         0
#> 47.2  24.00      0  38        0         1
#> 64    24.00      0  43        0         0
#> 103.1 24.00      0  56        1         0
#> 182.1 24.00      0  35        0         0
#> 2.1   24.00      0   9        0         0
#> 174   24.00      0  49        1         0
#> 151   24.00      0  42        0         0
#> 162.1 24.00      0  51        0         0
#> 173   24.00      0  19        0         1
#> 186   24.00      0  45        1         0
#> 73    24.00      0  NA        0         1
#> 67.1  24.00      0  25        0         0
#> 193.1 24.00      0  45        0         1
#> 176   24.00      0  43        0         1
#> 28.1  24.00      0  67        1         0
#> 35    24.00      0  51        0         0
#> 176.1 24.00      0  43        0         1
#> 120   24.00      0  68        0         1
#> 83.2  24.00      0   6        0         0
#> 118   24.00      0  44        1         0
#> 148.2 24.00      0  61        1         0
#> 82.1  24.00      0  34        0         0
#> 80.1  24.00      0  41        0         0
#> 2.2   24.00      0   9        0         0
#> 165   24.00      0  47        0         0
#> 54.2  24.00      0  53        1         0
#> 132   24.00      0  55        0         0
#> 161.1 24.00      0  45        0         0
#> 120.1 24.00      0  68        0         1
#> 22    24.00      0  52        1         0
#> 120.2 24.00      0  68        0         1
#> 65    24.00      0  57        1         0
#> 119.1 24.00      0  17        0         0
#> 172   24.00      0  41        0         0
#> 109.1 24.00      0  48        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.759         NA        NA      NA
#> 2 age, Cure model           0.0117        NA        NA      NA
#> 3 grade_ii, Cure model      0.455         NA        NA      NA
#> 4 grade_iii, Cure model     0.756         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00556        NA        NA      NA
#> 2 grade_ii, Survival model   0.456          NA        NA      NA
#> 3 grade_iii, Survival model  0.286          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.75886           0.01166           0.45460           0.75606  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 253.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.75885508       0.01165881       0.45460468       0.75605855 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.005564601      0.456483859      0.285692169 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.88751573 0.82941886 0.43367788 0.97137654 0.53883315 0.99429573
#>   [7] 0.65746726 0.80289680 0.95370678 0.84917687 0.35831113 0.38115658
#>  [13] 0.47264737 0.63325469 0.13776725 0.68107239 0.60871171 0.43367788
#>  [19] 0.57466411 0.29668483 0.59186620 0.92359178 0.71101270 0.72574466
#>  [25] 0.72574466 0.76846941 0.86206471 0.48253854 0.68107239 0.74729616
#>  [31] 0.20393882 0.95963869 0.08247720 0.86851371 0.23683568 0.88120082
#>  [37] 0.65746726 0.13776725 0.41285896 0.35831113 0.22057463 0.77542405
#>  [43] 0.74010022 0.25277797 0.59186620 0.26838309 0.60871171 0.54808514
#>  [49] 0.40225430 0.92359178 0.78928211 0.49224849 0.49224849 0.60871171
#>  [55] 0.34646552 0.28293820 0.49224849 0.32296032 0.88751573 0.94180895
#>  [61] 0.78236010 0.67322020 0.43367788 0.32296032 0.74729616 0.86851371
#>  [67] 0.63325469 0.31003332 0.68107239 0.13776725 0.80289680 0.88751573
#>  [73] 0.56585483 0.88751573 0.88751573 0.84263377 0.52940109 0.57466411
#>  [79] 0.18701645 0.11378189 0.80289680 0.93574380 0.71101270 0.83602955
#>  [85] 0.76144656 0.42335676 0.82275417 0.78928211 0.97137654 0.88751573
#>  [91] 0.38115658 0.64938978 0.03753695 0.43367788 0.98856256 0.84917687
#>  [97] 0.70349101 0.97137654 0.96552361 0.94180895 0.49224849 0.54808514
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   159   123    58    70    51   127   130    60   187    42   150   158    76 
#> 10.55 13.00 19.34  7.38 18.23  3.53 16.47 13.15  9.92 12.43 20.33 20.14 19.22 
#>    45    69    79    30  58.1   117    99   111    10    26   125 125.1    18 
#> 17.42 23.23 16.23 17.43 19.34 17.46 21.19 17.45 10.53 15.77 15.65 15.65 15.21 
#>    56    97  79.1    39   113   183    86    43   169   107 130.1  69.1   105 
#> 12.21 19.14 16.23 15.59 22.86  9.24 23.81 12.10 22.41 11.18 16.47 23.23 19.75 
#> 150.1    15   157     6    66 111.1   139  30.1    41   166  10.1    57     8 
#> 20.33 22.68 15.10 15.64 22.13 17.45 21.49 17.43 18.02 19.98 10.53 14.46 18.43 
#>   8.1  30.2    68   153   8.2   190 159.1   145   180     5  58.2 190.1  39.1 
#> 18.43 17.43 20.62 21.33 18.43 20.81 10.55 10.07 14.82 16.43 19.34 20.81 15.59 
#>  43.1  45.1    90  79.2  69.2  60.1 159.2   134 159.3 159.4   140   108 117.1 
#> 12.10 17.42 20.94 16.23 23.23 13.15 10.55 17.81 10.55 10.55 12.68 18.29 17.46 
#>    92   129  60.2    52  26.1    14    29   170   155  57.1  70.1 159.5 158.1 
#> 22.92 23.41 13.15 10.42 15.77 12.89 15.45 19.54 13.08 14.46  7.38 10.55 20.14 
#>    23    78  58.3    91  42.1   100  70.2   149 145.1   8.3  41.1    17     7 
#> 16.92 23.88 19.34  5.33 12.43 16.07  7.38  8.37 10.07 18.43 18.02 24.00 24.00 
#>     2   142   193   121   103   102    87   148   185    46   109    67  46.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    11 121.1   119    83   135    74   126    80 148.1  46.2   7.1    62    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198   182    82  87.1    47   200    95    84  47.1   196   161   146  84.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  17.1   7.2  87.2    54   162 196.1   191 198.1    28  83.1    53  54.1  47.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64 103.1 182.1   2.1   174   151 162.1   173   186  67.1 193.1   176  28.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    35 176.1   120  83.2   118 148.2  82.1  80.1   2.2   165  54.2   132 161.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 120.1    22 120.2    65 119.1   172 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[60]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.009334188               0.638884577              -0.195162048 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>               0.4357570              -0.0158276               0.4544604 
#>   grade_iii, Cure model 
#>               1.1074292 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 93    10.33      1  52        0         1
#> 51    18.23      1  83        0         1
#> 29    15.45      1  68        1         0
#> 124    9.73      1  NA        1         0
#> 123   13.00      1  44        1         0
#> 153   21.33      1  55        1         0
#> 97    19.14      1  65        0         1
#> 16     8.71      1  71        0         1
#> 4     17.64      1  NA        0         1
#> 184   17.77      1  38        0         0
#> 25     6.32      1  34        1         0
#> 6     15.64      1  39        0         0
#> 68    20.62      1  44        0         0
#> 113   22.86      1  34        0         0
#> 42    12.43      1  49        0         1
#> 49    12.19      1  48        1         0
#> 199   19.81      1  NA        0         1
#> 55    19.34      1  69        0         1
#> 56    12.21      1  60        0         0
#> 6.1   15.64      1  39        0         0
#> 78    23.88      1  43        0         0
#> 153.1 21.33      1  55        1         0
#> 70     7.38      1  30        1         0
#> 179   18.63      1  42        0         0
#> 92    22.92      1  47        0         1
#> 86    23.81      1  58        0         1
#> 26    15.77      1  49        0         1
#> 128   20.35      1  35        0         1
#> 10    10.53      1  34        0         0
#> 32    20.90      1  37        1         0
#> 180   14.82      1  37        0         0
#> 108   18.29      1  39        0         1
#> 69    23.23      1  25        0         1
#> 69.1  23.23      1  25        0         1
#> 6.2   15.64      1  39        0         0
#> 86.1  23.81      1  58        0         1
#> 180.1 14.82      1  37        0         0
#> 114   13.68      1  NA        0         0
#> 40    18.00      1  28        1         0
#> 108.1 18.29      1  39        0         1
#> 171   16.57      1  41        0         1
#> 136   21.83      1  43        0         1
#> 101    9.97      1  10        0         1
#> 128.1 20.35      1  35        0         1
#> 24    23.89      1  38        0         0
#> 91     5.33      1  61        0         1
#> 145   10.07      1  65        1         0
#> 60    13.15      1  38        1         0
#> 23    16.92      1  61        0         0
#> 179.1 18.63      1  42        0         0
#> 145.1 10.07      1  65        1         0
#> 32.1  20.90      1  37        1         0
#> 154   12.63      1  20        1         0
#> 88    18.37      1  47        0         0
#> 187    9.92      1  39        1         0
#> 96    14.54      1  33        0         1
#> 110   17.56      1  65        0         1
#> 139   21.49      1  63        1         0
#> 123.1 13.00      1  44        1         0
#> 179.2 18.63      1  42        0         0
#> 164   23.60      1  76        0         1
#> 29.1  15.45      1  68        1         0
#> 39    15.59      1  37        0         1
#> 133   14.65      1  57        0         0
#> 58    19.34      1  39        0         0
#> 60.1  13.15      1  38        1         0
#> 105   19.75      1  60        0         0
#> 89    11.44      1  NA        0         0
#> 192   16.44      1  31        1         0
#> 59    10.16      1  NA        1         0
#> 159   10.55      1  50        0         1
#> 157   15.10      1  47        0         0
#> 60.2  13.15      1  38        1         0
#> 41    18.02      1  40        1         0
#> 69.2  23.23      1  25        0         1
#> 43    12.10      1  61        0         1
#> 171.1 16.57      1  41        0         1
#> 63    22.77      1  31        1         0
#> 113.1 22.86      1  34        0         0
#> 189   10.51      1  NA        1         0
#> 4.1   17.64      1  NA        0         1
#> 107   11.18      1  54        1         0
#> 58.1  19.34      1  39        0         0
#> 154.1 12.63      1  20        1         0
#> 125   15.65      1  67        1         0
#> 166   19.98      1  48        0         0
#> 77     7.27      1  67        0         1
#> 134   17.81      1  47        1         0
#> 69.3  23.23      1  25        0         1
#> 50    10.02      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 77.1   7.27      1  67        0         1
#> 100   16.07      1  60        0         0
#> 92.1  22.92      1  47        0         1
#> 192.1 16.44      1  31        1         0
#> 41.1  18.02      1  40        1         0
#> 66    22.13      1  53        0         0
#> 199.1 19.81      1  NA        0         1
#> 49.1  12.19      1  48        1         0
#> 41.2  18.02      1  40        1         0
#> 136.1 21.83      1  43        0         1
#> 199.2 19.81      1  NA        0         1
#> 41.3  18.02      1  40        1         0
#> 70.1   7.38      1  30        1         0
#> 179.3 18.63      1  42        0         0
#> 18    15.21      1  49        1         0
#> 195   11.76      1  NA        1         0
#> 190   20.81      1  42        1         0
#> 58.2  19.34      1  39        0         0
#> 92.2  22.92      1  47        0         1
#> 40.1  18.00      1  28        1         0
#> 136.2 21.83      1  43        0         1
#> 94    24.00      0  51        0         1
#> 21    24.00      0  47        0         0
#> 46    24.00      0  71        0         0
#> 31    24.00      0  36        0         1
#> 193   24.00      0  45        0         1
#> 132   24.00      0  55        0         0
#> 126   24.00      0  48        0         0
#> 144   24.00      0  28        0         1
#> 132.1 24.00      0  55        0         0
#> 141   24.00      0  44        1         0
#> 172   24.00      0  41        0         0
#> 19    24.00      0  57        0         1
#> 31.1  24.00      0  36        0         1
#> 115   24.00      0  NA        1         0
#> 196   24.00      0  19        0         0
#> 2     24.00      0   9        0         0
#> 82    24.00      0  34        0         0
#> 135   24.00      0  58        1         0
#> 12    24.00      0  63        0         0
#> 119   24.00      0  17        0         0
#> 156   24.00      0  50        1         0
#> 80    24.00      0  41        0         0
#> 33    24.00      0  53        0         0
#> 1     24.00      0  23        1         0
#> 196.1 24.00      0  19        0         0
#> 103   24.00      0  56        1         0
#> 28    24.00      0  67        1         0
#> 27    24.00      0  63        1         0
#> 74    24.00      0  43        0         1
#> 185   24.00      0  44        1         0
#> 156.1 24.00      0  50        1         0
#> 178   24.00      0  52        1         0
#> 143   24.00      0  51        0         0
#> 46.1  24.00      0  71        0         0
#> 191   24.00      0  60        0         1
#> 27.1  24.00      0  63        1         0
#> 54    24.00      0  53        1         0
#> 131   24.00      0  66        0         0
#> 185.1 24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 126.1 24.00      0  48        0         0
#> 98    24.00      0  34        1         0
#> 82.1  24.00      0  34        0         0
#> 138   24.00      0  44        1         0
#> 20    24.00      0  46        1         0
#> 120   24.00      0  68        0         1
#> 62    24.00      0  71        0         0
#> 31.2  24.00      0  36        0         1
#> 62.1  24.00      0  71        0         0
#> 27.2  24.00      0  63        1         0
#> 162   24.00      0  51        0         0
#> 28.1  24.00      0  67        1         0
#> 173   24.00      0  19        0         1
#> 95.1  24.00      0  68        0         1
#> 115.1 24.00      0  NA        1         0
#> 176   24.00      0  43        0         1
#> 20.1  24.00      0  46        1         0
#> 142   24.00      0  53        0         0
#> 122   24.00      0  66        0         0
#> 138.1 24.00      0  44        1         0
#> 64    24.00      0  43        0         0
#> 163   24.00      0  66        0         0
#> 174   24.00      0  49        1         0
#> 185.2 24.00      0  44        1         0
#> 162.1 24.00      0  51        0         0
#> 162.2 24.00      0  51        0         0
#> 82.2  24.00      0  34        0         0
#> 65    24.00      0  57        1         0
#> 98.1  24.00      0  34        1         0
#> 147   24.00      0  76        1         0
#> 62.2  24.00      0  71        0         0
#> 156.2 24.00      0  50        1         0
#> 12.1  24.00      0  63        0         0
#> 64.1  24.00      0  43        0         0
#> 160   24.00      0  31        1         0
#> 178.1 24.00      0  52        1         0
#> 131.1 24.00      0  66        0         0
#> 196.2 24.00      0  19        0         0
#> 47    24.00      0  38        0         1
#> 82.3  24.00      0  34        0         0
#> 31.3  24.00      0  36        0         1
#> 121   24.00      0  57        1         0
#> 119.1 24.00      0  17        0         0
#> 109   24.00      0  48        0         0
#> 172.1 24.00      0  41        0         0
#> 35    24.00      0  51        0         0
#> 28.2  24.00      0  67        1         0
#> 174.1 24.00      0  49        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model   0.436         NA        NA      NA
#> 2 age, Cure model          -0.0158        NA        NA      NA
#> 3 grade_ii, Cure model      0.454         NA        NA      NA
#> 4 grade_iii, Cure model     1.11          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00933        NA        NA      NA
#> 2 grade_ii, Survival model   0.639          NA        NA      NA
#> 3 grade_iii, Survival model -0.195          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          0.43576          -0.01583           0.45446           1.10743  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.8 
#> Residual Deviance: 246.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>        0.4357570       -0.0158276        0.4544604        1.1074292 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.009334188      0.638884577     -0.195162048 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.93621079 0.62446512 0.79042939 0.86095143 0.40811051 0.55175034
#>   [7] 0.96336783 0.68887326 0.98964022 0.76276149 0.46355485 0.28681333
#>  [13] 0.89066037 0.90237634 0.51429001 0.89653272 0.76276149 0.07319979
#>  [19] 0.40811051 0.96871576 0.56127923 0.23605318 0.10310034 0.74848554
#>  [25] 0.47387603 0.93062569 0.43159392 0.81674482 0.60642870 0.16708269
#>  [31] 0.16708269 0.76276149 0.10310034 0.81674482 0.66550020 0.60642870
#>  [37] 0.71173408 0.35149266 0.95258409 0.47387603 0.03629965 0.99482623
#>  [43] 0.94178470 0.84251325 0.70416996 0.56127923 0.94178470 0.43159392
#>  [49] 0.87296819 0.59729207 0.95800215 0.83608060 0.69654299 0.39447052
#>  [55] 0.86095143 0.56127923 0.14601470 0.79042939 0.78347362 0.82964203
#>  [61] 0.51429001 0.84251325 0.50430572 0.72671660 0.92502803 0.81022794
#>  [67] 0.84251325 0.63344680 0.16708269 0.91373752 0.71173408 0.32022629
#>  [73] 0.28681333 0.91941979 0.51429001 0.87296819 0.75570914 0.49417081
#>  [79] 0.97920804 0.68116700 0.16708269 0.88477638 0.97920804 0.74124097
#>  [85] 0.23605318 0.72671660 0.63344680 0.33609202 0.90237634 0.63344680
#>  [91] 0.35149266 0.63344680 0.96871576 0.56127923 0.80368206 0.45311564
#>  [97] 0.51429001 0.23605318 0.66550020 0.35149266 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    93    51    29   123   153    97    16   184    25     6    68   113    42 
#> 10.33 18.23 15.45 13.00 21.33 19.14  8.71 17.77  6.32 15.64 20.62 22.86 12.43 
#>    49    55    56   6.1    78 153.1    70   179    92    86    26   128    10 
#> 12.19 19.34 12.21 15.64 23.88 21.33  7.38 18.63 22.92 23.81 15.77 20.35 10.53 
#>    32   180   108    69  69.1   6.2  86.1 180.1    40 108.1   171   136   101 
#> 20.90 14.82 18.29 23.23 23.23 15.64 23.81 14.82 18.00 18.29 16.57 21.83  9.97 
#> 128.1    24    91   145    60    23 179.1 145.1  32.1   154    88   187    96 
#> 20.35 23.89  5.33 10.07 13.15 16.92 18.63 10.07 20.90 12.63 18.37  9.92 14.54 
#>   110   139 123.1 179.2   164  29.1    39   133    58  60.1   105   192   159 
#> 17.56 21.49 13.00 18.63 23.60 15.45 15.59 14.65 19.34 13.15 19.75 16.44 10.55 
#>   157  60.2    41  69.2    43 171.1    63 113.1   107  58.1 154.1   125   166 
#> 15.10 13.15 18.02 23.23 12.10 16.57 22.77 22.86 11.18 19.34 12.63 15.65 19.98 
#>    77   134  69.3   177  77.1   100  92.1 192.1  41.1    66  49.1  41.2 136.1 
#>  7.27 17.81 23.23 12.53  7.27 16.07 22.92 16.44 18.02 22.13 12.19 18.02 21.83 
#>  41.3  70.1 179.3    18   190  58.2  92.2  40.1 136.2    94    21    46    31 
#> 18.02  7.38 18.63 15.21 20.81 19.34 22.92 18.00 21.83 24.00 24.00 24.00 24.00 
#>   193   132   126   144 132.1   141   172    19  31.1   196     2    82   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12   119   156    80    33     1 196.1   103    28    27    74   185 156.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178   143  46.1   191  27.1    54   131 185.1    95 126.1    98  82.1   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20   120    62  31.2  62.1  27.2   162  28.1   173  95.1   176  20.1   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122 138.1    64   163   174 185.2 162.1 162.2  82.2    65  98.1   147  62.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 156.2  12.1  64.1   160 178.1 131.1 196.2    47  82.3  31.3   121 119.1   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.1    35  28.2 174.1 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[61]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.001312531               0.803646914               0.486291701 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -0.8117387               0.0144759               0.4383128 
#>   grade_iii, Cure model 
#>               0.7657468 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 177   12.53      1  75        0         0
#> 133   14.65      1  57        0         0
#> 66    22.13      1  53        0         0
#> 179   18.63      1  42        0         0
#> 90    20.94      1  50        0         1
#> 93    10.33      1  52        0         1
#> 184   17.77      1  38        0         0
#> 107   11.18      1  54        1         0
#> 60    13.15      1  38        1         0
#> 145   10.07      1  65        1         0
#> 32    20.90      1  37        1         0
#> 6     15.64      1  39        0         0
#> 30    17.43      1  78        0         0
#> 149    8.37      1  33        1         0
#> 56    12.21      1  60        0         0
#> 40    18.00      1  28        1         0
#> 113   22.86      1  34        0         0
#> 51    18.23      1  83        0         1
#> 18    15.21      1  49        1         0
#> 18.1  15.21      1  49        1         0
#> 79    16.23      1  54        1         0
#> 90.1  20.94      1  50        0         1
#> 70     7.38      1  30        1         0
#> 199   19.81      1  NA        0         1
#> 43    12.10      1  61        0         1
#> 36    21.19      1  48        0         1
#> 66.1  22.13      1  53        0         0
#> 150   20.33      1  48        0         0
#> 155   13.08      1  26        0         0
#> 168   23.72      1  70        0         0
#> 92    22.92      1  47        0         1
#> 13    14.34      1  54        0         1
#> 184.1 17.77      1  38        0         0
#> 190   20.81      1  42        1         0
#> 187    9.92      1  39        1         0
#> 58    19.34      1  39        0         0
#> 181   16.46      1  45        0         1
#> 158   20.14      1  74        1         0
#> 130   16.47      1  53        0         1
#> 170   19.54      1  43        0         1
#> 134   17.81      1  47        1         0
#> 169   22.41      1  46        0         0
#> 149.1  8.37      1  33        1         0
#> 170.1 19.54      1  43        0         1
#> 18.2  15.21      1  49        1         0
#> 55    19.34      1  69        0         1
#> 51.1  18.23      1  83        0         1
#> 25     6.32      1  34        1         0
#> 5     16.43      1  51        0         1
#> 4     17.64      1  NA        0         1
#> 43.1  12.10      1  61        0         1
#> 66.2  22.13      1  53        0         0
#> 100   16.07      1  60        0         0
#> 88    18.37      1  47        0         0
#> 106   16.67      1  49        1         0
#> 150.1 20.33      1  48        0         0
#> 106.1 16.67      1  49        1         0
#> 199.1 19.81      1  NA        0         1
#> 5.1   16.43      1  51        0         1
#> 158.1 20.14      1  74        1         0
#> 100.1 16.07      1  60        0         0
#> 106.2 16.67      1  49        1         0
#> 166   19.98      1  48        0         0
#> 88.1  18.37      1  47        0         0
#> 49    12.19      1  48        1         0
#> 88.2  18.37      1  47        0         0
#> 189   10.51      1  NA        1         0
#> 79.1  16.23      1  54        1         0
#> 168.1 23.72      1  70        0         0
#> 25.1   6.32      1  34        1         0
#> 96    14.54      1  33        0         1
#> 63    22.77      1  31        1         0
#> 175   21.91      1  43        0         0
#> 150.2 20.33      1  48        0         0
#> 25.2   6.32      1  34        1         0
#> 60.1  13.15      1  38        1         0
#> 188   16.16      1  46        0         1
#> 166.1 19.98      1  48        0         0
#> 85    16.44      1  36        0         0
#> 97    19.14      1  65        0         1
#> 39    15.59      1  37        0         1
#> 106.3 16.67      1  49        1         0
#> 184.2 17.77      1  38        0         0
#> 134.1 17.81      1  47        1         0
#> 32.1  20.90      1  37        1         0
#> 76    19.22      1  54        0         1
#> 187.1  9.92      1  39        1         0
#> 49.1  12.19      1  48        1         0
#> 153   21.33      1  55        1         0
#> 45    17.42      1  54        0         1
#> 10    10.53      1  34        0         0
#> 5.2   16.43      1  51        0         1
#> 91     5.33      1  61        0         1
#> 100.2 16.07      1  60        0         0
#> 49.2  12.19      1  48        1         0
#> 16     8.71      1  71        0         1
#> 113.1 22.86      1  34        0         0
#> 10.1  10.53      1  34        0         0
#> 105   19.75      1  60        0         0
#> 155.1 13.08      1  26        0         0
#> 108   18.29      1  39        0         1
#> 69    23.23      1  25        0         1
#> 96.1  14.54      1  33        0         1
#> 127    3.53      1  62        0         1
#> 124    9.73      1  NA        1         0
#> 68    20.62      1  44        0         0
#> 96.2  14.54      1  33        0         1
#> 41    18.02      1  40        1         0
#> 85.1  16.44      1  36        0         0
#> 78    23.88      1  43        0         0
#> 189.1 10.51      1  NA        1         0
#> 49.3  12.19      1  48        1         0
#> 21    24.00      0  47        0         0
#> 48    24.00      0  31        1         0
#> 200   24.00      0  64        0         0
#> 72    24.00      0  40        0         1
#> 165   24.00      0  47        0         0
#> 162   24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 102   24.00      0  49        0         0
#> 94    24.00      0  51        0         1
#> 135   24.00      0  58        1         0
#> 146   24.00      0  63        1         0
#> 98    24.00      0  34        1         0
#> 71    24.00      0  51        0         0
#> 176   24.00      0  43        0         1
#> 87    24.00      0  27        0         0
#> 182   24.00      0  35        0         0
#> 1     24.00      0  23        1         0
#> 141   24.00      0  44        1         0
#> 53    24.00      0  32        0         1
#> 11    24.00      0  42        0         1
#> 82    24.00      0  34        0         0
#> 132   24.00      0  55        0         0
#> 98.1  24.00      0  34        1         0
#> 138   24.00      0  44        1         0
#> 144   24.00      0  28        0         1
#> 22    24.00      0  52        1         0
#> 20    24.00      0  46        1         0
#> 161   24.00      0  45        0         0
#> 53.1  24.00      0  32        0         1
#> 122   24.00      0  66        0         0
#> 182.1 24.00      0  35        0         0
#> 27    24.00      0  63        1         0
#> 64    24.00      0  43        0         0
#> 34    24.00      0  36        0         0
#> 9     24.00      0  31        1         0
#> 83    24.00      0   6        0         0
#> 118   24.00      0  44        1         0
#> 186   24.00      0  45        1         0
#> 172   24.00      0  41        0         0
#> 54    24.00      0  53        1         0
#> 118.1 24.00      0  44        1         0
#> 12    24.00      0  63        0         0
#> 135.1 24.00      0  58        1         0
#> 121   24.00      0  57        1         0
#> 146.1 24.00      0  63        1         0
#> 116   24.00      0  58        0         1
#> 160   24.00      0  31        1         0
#> 34.1  24.00      0  36        0         0
#> 132.1 24.00      0  55        0         0
#> 83.1  24.00      0   6        0         0
#> 44    24.00      0  56        0         0
#> 200.1 24.00      0  64        0         0
#> 109   24.00      0  48        0         0
#> 65    24.00      0  57        1         0
#> 162.1 24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 119   24.00      0  17        0         0
#> 74    24.00      0  43        0         1
#> 83.2  24.00      0   6        0         0
#> 48.1  24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 44.1  24.00      0  56        0         0
#> 196   24.00      0  19        0         0
#> 35    24.00      0  51        0         0
#> 135.2 24.00      0  58        1         0
#> 147   24.00      0  76        1         0
#> 44.2  24.00      0  56        0         0
#> 144.1 24.00      0  28        0         1
#> 46    24.00      0  71        0         0
#> 31    24.00      0  36        0         1
#> 46.1  24.00      0  71        0         0
#> 198   24.00      0  66        0         1
#> 142   24.00      0  53        0         0
#> 161.1 24.00      0  45        0         0
#> 20.1  24.00      0  46        1         0
#> 11.1  24.00      0  42        0         1
#> 102.1 24.00      0  49        0         0
#> 34.2  24.00      0  36        0         0
#> 109.1 24.00      0  48        0         0
#> 87.1  24.00      0  27        0         0
#> 64.1  24.00      0  43        0         0
#> 176.1 24.00      0  43        0         1
#> 160.1 24.00      0  31        1         0
#> 132.2 24.00      0  55        0         0
#> 64.2  24.00      0  43        0         0
#> 109.2 24.00      0  48        0         0
#> 44.3  24.00      0  56        0         0
#> 185   24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.812         NA        NA      NA
#> 2 age, Cure model           0.0145        NA        NA      NA
#> 3 grade_ii, Cure model      0.438         NA        NA      NA
#> 4 grade_iii, Cure model     0.766         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00131        NA        NA      NA
#> 2 grade_ii, Survival model   0.804          NA        NA      NA
#> 3 grade_iii, Survival model  0.486          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.81174           0.01448           0.43831           0.76575  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    267.3 
#> Residual Deviance: 260.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -0.8117387        0.0144759        0.4383128        0.7657468 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.001312531      0.803646914      0.486291701 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.84063761 0.77572063 0.16597654 0.45823563 0.24827352 0.91615948
#>   [7] 0.56068468 0.89584030 0.81219560 0.92292465 0.27275654 0.73823341
#>  [13] 0.58662771 0.94938774 0.84778620 0.53420339 0.10587372 0.50618610
#>  [19] 0.75364071 0.75364071 0.69219022 0.24827352 0.96230638 0.88220626
#>  [25] 0.23501404 0.16597654 0.31675309 0.82641250 0.03445252 0.08929599
#>  [31] 0.80491170 0.56068468 0.29499130 0.92963810 0.41914344 0.64444869
#>  [37] 0.34851346 0.63630544 0.39934166 0.54329274 0.15138996 0.94938774
#>  [43] 0.39934166 0.75364071 0.41914344 0.50618610 0.96873782 0.66863305
#>  [49] 0.88220626 0.16597654 0.71531046 0.46794035 0.60414374 0.31675309
#>  [55] 0.60414374 0.66863305 0.34851346 0.71531046 0.60414374 0.36874117
#>  [61] 0.46794035 0.85493937 0.46794035 0.69219022 0.03445252 0.96873782
#>  [67] 0.78315670 0.13688627 0.20670940 0.31675309 0.96873782 0.81219560
#>  [73] 0.70760529 0.36874117 0.65253746 0.44854193 0.74595890 0.60414374
#>  [79] 0.56068468 0.54329274 0.27275654 0.43874378 0.92963810 0.85493937
#>  [85] 0.22134859 0.59541890 0.90262742 0.66863305 0.98748299 0.71531046
#>  [91] 0.85493937 0.94280391 0.10587372 0.90262742 0.38903712 0.82641250
#>  [97] 0.49655974 0.07093180 0.78315670 0.99375133 0.30586131 0.78315670
#> [103] 0.52493215 0.65253746 0.01195943 0.85493937 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000 0.00000000
#> 
#> $Time
#>   177   133    66   179    90    93   184   107    60   145    32     6    30 
#> 12.53 14.65 22.13 18.63 20.94 10.33 17.77 11.18 13.15 10.07 20.90 15.64 17.43 
#>   149    56    40   113    51    18  18.1    79  90.1    70    43    36  66.1 
#>  8.37 12.21 18.00 22.86 18.23 15.21 15.21 16.23 20.94  7.38 12.10 21.19 22.13 
#>   150   155   168    92    13 184.1   190   187    58   181   158   130   170 
#> 20.33 13.08 23.72 22.92 14.34 17.77 20.81  9.92 19.34 16.46 20.14 16.47 19.54 
#>   134   169 149.1 170.1  18.2    55  51.1    25     5  43.1  66.2   100    88 
#> 17.81 22.41  8.37 19.54 15.21 19.34 18.23  6.32 16.43 12.10 22.13 16.07 18.37 
#>   106 150.1 106.1   5.1 158.1 100.1 106.2   166  88.1    49  88.2  79.1 168.1 
#> 16.67 20.33 16.67 16.43 20.14 16.07 16.67 19.98 18.37 12.19 18.37 16.23 23.72 
#>  25.1    96    63   175 150.2  25.2  60.1   188 166.1    85    97    39 106.3 
#>  6.32 14.54 22.77 21.91 20.33  6.32 13.15 16.16 19.98 16.44 19.14 15.59 16.67 
#> 184.2 134.1  32.1    76 187.1  49.1   153    45    10   5.2    91 100.2  49.2 
#> 17.77 17.81 20.90 19.22  9.92 12.19 21.33 17.42 10.53 16.43  5.33 16.07 12.19 
#>    16 113.1  10.1   105 155.1   108    69  96.1   127    68  96.2    41  85.1 
#>  8.71 22.86 10.53 19.75 13.08 18.29 23.23 14.54  3.53 20.62 14.54 18.02 16.44 
#>    78  49.3    21    48   200    72   165   162   126   102    94   135   146 
#> 23.88 12.19 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98    71   176    87   182     1   141    53    11    82   132  98.1   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144    22    20   161  53.1   122 182.1    27    64    34     9    83   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186   172    54 118.1    12 135.1   121 146.1   116   160  34.1 132.1  83.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44 200.1   109    65 162.1    19   119    74  83.2  48.1    95  44.1   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    35 135.2   147  44.2 144.1    46    31  46.1   198   142 161.1  20.1  11.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 102.1  34.2 109.1  87.1  64.1 176.1 160.1 132.2  64.2 109.2  44.3   185 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[62]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01768066                0.51038616                0.06928135 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.67806873              0.03411394             -0.10674047 
#>   grade_iii, Cure model 
#>              0.78857694 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 5     16.43      1  51        0         1
#> 105   19.75      1  60        0         0
#> 100   16.07      1  60        0         0
#> 60    13.15      1  38        1         0
#> 190   20.81      1  42        1         0
#> 128   20.35      1  35        0         1
#> 171   16.57      1  41        0         1
#> 183    9.24      1  67        1         0
#> 127    3.53      1  62        0         1
#> 89    11.44      1  NA        0         0
#> 49    12.19      1  48        1         0
#> 57    14.46      1  45        0         1
#> 124    9.73      1  NA        1         0
#> 16     8.71      1  71        0         1
#> 124.1  9.73      1  NA        1         0
#> 51    18.23      1  83        0         1
#> 164   23.60      1  76        0         1
#> 58    19.34      1  39        0         0
#> 194   22.40      1  38        0         1
#> 30    17.43      1  78        0         0
#> 56    12.21      1  60        0         0
#> 164.1 23.60      1  76        0         1
#> 5.1   16.43      1  51        0         1
#> 4     17.64      1  NA        0         1
#> 52    10.42      1  52        0         1
#> 81    14.06      1  34        0         0
#> 86    23.81      1  58        0         1
#> 91     5.33      1  61        0         1
#> 108   18.29      1  39        0         1
#> 130   16.47      1  53        0         1
#> 192   16.44      1  31        1         0
#> 192.1 16.44      1  31        1         0
#> 52.1  10.42      1  52        0         1
#> 139   21.49      1  63        1         0
#> 157   15.10      1  47        0         0
#> 41    18.02      1  40        1         0
#> 77     7.27      1  67        0         1
#> 192.2 16.44      1  31        1         0
#> 56.1  12.21      1  60        0         0
#> 179   18.63      1  42        0         0
#> 125   15.65      1  67        1         0
#> 51.1  18.23      1  83        0         1
#> 168   23.72      1  70        0         0
#> 123   13.00      1  44        1         0
#> 79    16.23      1  54        1         0
#> 197   21.60      1  69        1         0
#> 61    10.12      1  36        0         1
#> 45    17.42      1  54        0         1
#> 107   11.18      1  54        1         0
#> 169   22.41      1  46        0         0
#> 25     6.32      1  34        1         0
#> 187    9.92      1  39        1         0
#> 68    20.62      1  44        0         0
#> 68.1  20.62      1  44        0         0
#> 96    14.54      1  33        0         1
#> 4.1   17.64      1  NA        0         1
#> 117   17.46      1  26        0         1
#> 89.1  11.44      1  NA        0         0
#> 51.2  18.23      1  83        0         1
#> 15    22.68      1  48        0         0
#> 68.2  20.62      1  44        0         0
#> 66    22.13      1  53        0         0
#> 86.1  23.81      1  58        0         1
#> 60.1  13.15      1  38        1         0
#> 36    21.19      1  48        0         1
#> 130.1 16.47      1  53        0         1
#> 86.2  23.81      1  58        0         1
#> 37    12.52      1  57        1         0
#> 14    12.89      1  21        0         0
#> 61.1  10.12      1  36        0         1
#> 16.1   8.71      1  71        0         1
#> 42    12.43      1  49        0         1
#> 197.1 21.60      1  69        1         0
#> 189   10.51      1  NA        1         0
#> 129   23.41      1  53        1         0
#> 183.1  9.24      1  67        1         0
#> 149    8.37      1  33        1         0
#> 39    15.59      1  37        0         1
#> 91.1   5.33      1  61        0         1
#> 52.2  10.42      1  52        0         1
#> 14.1  12.89      1  21        0         0
#> 180   14.82      1  37        0         0
#> 107.1 11.18      1  54        1         0
#> 36.1  21.19      1  48        0         1
#> 76    19.22      1  54        0         1
#> 32    20.90      1  37        1         0
#> 192.3 16.44      1  31        1         0
#> 99    21.19      1  38        0         1
#> 169.1 22.41      1  46        0         0
#> 139.1 21.49      1  63        1         0
#> 199   19.81      1  NA        0         1
#> 101    9.97      1  10        0         1
#> 45.1  17.42      1  54        0         1
#> 99.1  21.19      1  38        0         1
#> 108.1 18.29      1  39        0         1
#> 36.2  21.19      1  48        0         1
#> 56.2  12.21      1  60        0         0
#> 113   22.86      1  34        0         0
#> 57.1  14.46      1  45        0         1
#> 164.2 23.60      1  76        0         1
#> 114   13.68      1  NA        0         0
#> 167   15.55      1  56        1         0
#> 114.1 13.68      1  NA        0         0
#> 42.1  12.43      1  49        0         1
#> 59    10.16      1  NA        1         0
#> 81.1  14.06      1  34        0         0
#> 36.3  21.19      1  48        0         1
#> 41.1  18.02      1  40        1         0
#> 123.1 13.00      1  44        1         0
#> 195   11.76      1  NA        1         0
#> 183.2  9.24      1  67        1         0
#> 92    22.92      1  47        0         1
#> 22    24.00      0  52        1         0
#> 152   24.00      0  36        0         1
#> 83    24.00      0   6        0         0
#> 102   24.00      0  49        0         0
#> 182   24.00      0  35        0         0
#> 151   24.00      0  42        0         0
#> 31    24.00      0  36        0         1
#> 160   24.00      0  31        1         0
#> 3     24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 109   24.00      0  48        0         0
#> 173   24.00      0  19        0         1
#> 7     24.00      0  37        1         0
#> 38    24.00      0  31        1         0
#> 20    24.00      0  46        1         0
#> 126   24.00      0  48        0         0
#> 198   24.00      0  66        0         1
#> 22.1  24.00      0  52        1         0
#> 116   24.00      0  58        0         1
#> 11    24.00      0  42        0         1
#> 103   24.00      0  56        1         0
#> 176   24.00      0  43        0         1
#> 2     24.00      0   9        0         0
#> 19    24.00      0  57        0         1
#> 151.1 24.00      0  42        0         0
#> 102.1 24.00      0  49        0         0
#> 44    24.00      0  56        0         0
#> 162   24.00      0  51        0         0
#> 19.1  24.00      0  57        0         1
#> 193   24.00      0  45        0         1
#> 115   24.00      0  NA        1         0
#> 147   24.00      0  76        1         0
#> 67    24.00      0  25        0         0
#> 22.2  24.00      0  52        1         0
#> 186   24.00      0  45        1         0
#> 142   24.00      0  53        0         0
#> 178   24.00      0  52        1         0
#> 160.1 24.00      0  31        1         0
#> 151.2 24.00      0  42        0         0
#> 138   24.00      0  44        1         0
#> 48    24.00      0  31        1         0
#> 83.1  24.00      0   6        0         0
#> 27    24.00      0  63        1         0
#> 71    24.00      0  51        0         0
#> 31.1  24.00      0  36        0         1
#> 147.1 24.00      0  76        1         0
#> 48.1  24.00      0  31        1         0
#> 147.2 24.00      0  76        1         0
#> 72    24.00      0  40        0         1
#> 19.2  24.00      0  57        0         1
#> 146   24.00      0  63        1         0
#> 72.1  24.00      0  40        0         1
#> 196   24.00      0  19        0         0
#> 31.2  24.00      0  36        0         1
#> 20.1  24.00      0  46        1         0
#> 138.1 24.00      0  44        1         0
#> 118.1 24.00      0  44        1         0
#> 165   24.00      0  47        0         0
#> 38.1  24.00      0  31        1         0
#> 173.1 24.00      0  19        0         1
#> 54    24.00      0  53        1         0
#> 82    24.00      0  34        0         0
#> 20.2  24.00      0  46        1         0
#> 71.1  24.00      0  51        0         0
#> 172   24.00      0  41        0         0
#> 173.2 24.00      0  19        0         1
#> 138.2 24.00      0  44        1         0
#> 162.1 24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 46    24.00      0  71        0         0
#> 38.2  24.00      0  31        1         0
#> 12    24.00      0  63        0         0
#> 20.3  24.00      0  46        1         0
#> 144   24.00      0  28        0         1
#> 116.1 24.00      0  58        0         1
#> 7.1   24.00      0  37        1         0
#> 94    24.00      0  51        0         1
#> 160.2 24.00      0  31        1         0
#> 142.1 24.00      0  53        0         0
#> 104   24.00      0  50        1         0
#> 173.3 24.00      0  19        0         1
#> 193.1 24.00      0  45        0         1
#> 87    24.00      0  27        0         0
#> 83.2  24.00      0   6        0         0
#> 138.3 24.00      0  44        1         0
#> 9     24.00      0  31        1         0
#> 87.1  24.00      0  27        0         0
#> 3.1   24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.68          NA        NA      NA
#> 2 age, Cure model           0.0341        NA        NA      NA
#> 3 grade_ii, Cure model     -0.107         NA        NA      NA
#> 4 grade_iii, Cure model     0.789         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0177        NA        NA      NA
#> 2 grade_ii, Survival model    0.510         NA        NA      NA
#> 3 grade_iii, Survival model   0.0693        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.67807           0.03411          -0.10674           0.78858  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258.3 
#> Residual Deviance: 239.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.67806873       0.03411394      -0.10674047       0.78857694 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01768066       0.51038616       0.06928135 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 2.994838e-01 1.000629e-01 3.332703e-01 4.725798e-01 7.011071e-02
#>   [6] 9.353572e-02 2.264479e-01 8.046190e-01 9.812557e-01 6.434309e-01
#>  [11] 4.195221e-01 8.554428e-01 1.442391e-01 9.685036e-04 1.068808e-01
#>  [16] 1.610306e-02 1.969455e-01 5.983549e-01 9.685036e-04 2.994838e-01
#>  [21] 6.900769e-01 4.456942e-01 3.591041e-05 9.445705e-01 1.287757e-01
#>  [26] 2.368369e-01 2.582244e-01 2.582244e-01 6.900769e-01 2.968211e-02
#>  [31] 3.814144e-01 1.698156e-01 9.084538e-01 2.582244e-01 5.983549e-01
#>  [36] 1.212300e-01 3.450279e-01 1.442391e-01 4.843510e-04 4.996958e-01
#>  [41] 3.217778e-01 2.247207e-02 7.381109e-01 2.065747e-01 6.589278e-01
#>  [46] 1.101321e-02 9.264969e-01 7.878395e-01 7.577582e-02 7.577582e-02
#>  [51] 4.066470e-01 1.876562e-01 1.442391e-01 8.764055e-03 7.577582e-02
#>  [56] 1.912649e-02 3.591041e-05 4.725798e-01 3.779061e-02 2.368369e-01
#>  [61] 3.591041e-05 5.550796e-01 5.271620e-01 7.381109e-01 8.554428e-01
#>  [66] 5.693611e-01 2.247207e-02 3.606379e-03 8.046190e-01 8.906485e-01
#>  [71] 3.569853e-01 9.445705e-01 6.900769e-01 5.271620e-01 3.939337e-01
#>  [76] 6.589278e-01 3.779061e-02 1.139227e-01 6.453908e-02 2.582244e-01
#>  [81] 3.779061e-02 1.101321e-02 2.968211e-02 7.711184e-01 2.065747e-01
#>  [86] 3.779061e-02 1.287757e-01 3.779061e-02 5.983549e-01 6.803712e-03
#>  [91] 4.195221e-01 9.685036e-04 3.691229e-01 5.693611e-01 4.456942e-01
#>  [96] 3.779061e-02 1.698156e-01 4.996958e-01 8.046190e-01 5.070669e-03
#> [101] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00
#> 
#> $Time
#>     5   105   100    60   190   128   171   183   127    49    57    16    51 
#> 16.43 19.75 16.07 13.15 20.81 20.35 16.57  9.24  3.53 12.19 14.46  8.71 18.23 
#>   164    58   194    30    56 164.1   5.1    52    81    86    91   108   130 
#> 23.60 19.34 22.40 17.43 12.21 23.60 16.43 10.42 14.06 23.81  5.33 18.29 16.47 
#>   192 192.1  52.1   139   157    41    77 192.2  56.1   179   125  51.1   168 
#> 16.44 16.44 10.42 21.49 15.10 18.02  7.27 16.44 12.21 18.63 15.65 18.23 23.72 
#>   123    79   197    61    45   107   169    25   187    68  68.1    96   117 
#> 13.00 16.23 21.60 10.12 17.42 11.18 22.41  6.32  9.92 20.62 20.62 14.54 17.46 
#>  51.2    15  68.2    66  86.1  60.1    36 130.1  86.2    37    14  61.1  16.1 
#> 18.23 22.68 20.62 22.13 23.81 13.15 21.19 16.47 23.81 12.52 12.89 10.12  8.71 
#>    42 197.1   129 183.1   149    39  91.1  52.2  14.1   180 107.1  36.1    76 
#> 12.43 21.60 23.41  9.24  8.37 15.59  5.33 10.42 12.89 14.82 11.18 21.19 19.22 
#>    32 192.3    99 169.1 139.1   101  45.1  99.1 108.1  36.2  56.2   113  57.1 
#> 20.90 16.44 21.19 22.41 21.49  9.97 17.42 21.19 18.29 21.19 12.21 22.86 14.46 
#> 164.2   167  42.1  81.1  36.3  41.1 123.1 183.2    92    22   152    83   102 
#> 23.60 15.55 12.43 14.06 21.19 18.02 13.00  9.24 22.92 24.00 24.00 24.00 24.00 
#>   182   151    31   160     3   118   109   173     7    38    20   126   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  22.1   116    11   103   176     2    19 151.1 102.1    44   162  19.1   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147    67  22.2   186   142   178 160.1 151.2   138    48  83.1    27    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  31.1 147.1  48.1 147.2    72  19.2   146  72.1   196  31.2  20.1 138.1 118.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165  38.1 173.1    54    82  20.2  71.1   172 173.2 138.2 162.1    17    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  38.2    12  20.3   144 116.1   7.1    94 160.2 142.1   104 173.3 193.1    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  83.2 138.3     9  87.1   3.1 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[63]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01802348                0.70653512                0.53381395 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.73129323              0.02006477             -0.19492136 
#>   grade_iii, Cure model 
#>              0.07147253 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 139   21.49      1  63        1         0
#> 187    9.92      1  39        1         0
#> 76    19.22      1  54        0         1
#> 100   16.07      1  60        0         0
#> 113   22.86      1  34        0         0
#> 153   21.33      1  55        1         0
#> 123   13.00      1  44        1         0
#> 188   16.16      1  46        0         1
#> 134   17.81      1  47        1         0
#> 41    18.02      1  40        1         0
#> 57    14.46      1  45        0         1
#> 190   20.81      1  42        1         0
#> 36    21.19      1  48        0         1
#> 36.1  21.19      1  48        0         1
#> 130   16.47      1  53        0         1
#> 88    18.37      1  47        0         0
#> 50    10.02      1  NA        1         0
#> 157   15.10      1  47        0         0
#> 55    19.34      1  69        0         1
#> 55.1  19.34      1  69        0         1
#> 59    10.16      1  NA        1         0
#> 86    23.81      1  58        0         1
#> 40    18.00      1  28        1         0
#> 51    18.23      1  83        0         1
#> 61    10.12      1  36        0         1
#> 96    14.54      1  33        0         1
#> 78    23.88      1  43        0         0
#> 14    12.89      1  21        0         0
#> 140   12.68      1  59        1         0
#> 89    11.44      1  NA        0         0
#> 187.1  9.92      1  39        1         0
#> 184   17.77      1  38        0         0
#> 66    22.13      1  53        0         0
#> 86.1  23.81      1  58        0         1
#> 100.1 16.07      1  60        0         0
#> 85    16.44      1  36        0         0
#> 30    17.43      1  78        0         0
#> 180   14.82      1  37        0         0
#> 5     16.43      1  51        0         1
#> 36.2  21.19      1  48        0         1
#> 14.1  12.89      1  21        0         0
#> 139.1 21.49      1  63        1         0
#> 170   19.54      1  43        0         1
#> 96.1  14.54      1  33        0         1
#> 57.1  14.46      1  45        0         1
#> 111   17.45      1  47        0         1
#> 63    22.77      1  31        1         0
#> 66.1  22.13      1  53        0         0
#> 159   10.55      1  50        0         1
#> 37    12.52      1  57        1         0
#> 79    16.23      1  54        1         0
#> 111.1 17.45      1  47        0         1
#> 70     7.38      1  30        1         0
#> 56    12.21      1  60        0         0
#> 100.2 16.07      1  60        0         0
#> 24    23.89      1  38        0         0
#> 13    14.34      1  54        0         1
#> 128   20.35      1  35        0         1
#> 124    9.73      1  NA        1         0
#> 127    3.53      1  62        0         1
#> 184.1 17.77      1  38        0         0
#> 66.2  22.13      1  53        0         0
#> 49    12.19      1  48        1         0
#> 175   21.91      1  43        0         0
#> 192   16.44      1  31        1         0
#> 15    22.68      1  48        0         0
#> 133   14.65      1  57        0         0
#> 129   23.41      1  53        1         0
#> 154   12.63      1  20        1         0
#> 107   11.18      1  54        1         0
#> 136   21.83      1  43        0         1
#> 51.1  18.23      1  83        0         1
#> 61.1  10.12      1  36        0         1
#> 10    10.53      1  34        0         0
#> 76.1  19.22      1  54        0         1
#> 114   13.68      1  NA        0         0
#> 129.1 23.41      1  53        1         0
#> 55.2  19.34      1  69        0         1
#> 180.1 14.82      1  37        0         0
#> 42    12.43      1  49        0         1
#> 39    15.59      1  37        0         1
#> 189   10.51      1  NA        1         0
#> 90    20.94      1  50        0         1
#> 168   23.72      1  70        0         0
#> 49.1  12.19      1  48        1         0
#> 36.3  21.19      1  48        0         1
#> 164   23.60      1  76        0         1
#> 108   18.29      1  39        0         1
#> 187.2  9.92      1  39        1         0
#> 180.2 14.82      1  37        0         0
#> 169   22.41      1  46        0         0
#> 29    15.45      1  68        1         0
#> 57.2  14.46      1  45        0         1
#> 59.1  10.16      1  NA        1         0
#> 139.2 21.49      1  63        1         0
#> 194   22.40      1  38        0         1
#> 78.1  23.88      1  43        0         0
#> 168.1 23.72      1  70        0         0
#> 169.1 22.41      1  46        0         0
#> 111.2 17.45      1  47        0         1
#> 49.2  12.19      1  48        1         0
#> 18    15.21      1  49        1         0
#> 124.1  9.73      1  NA        1         0
#> 36.4  21.19      1  48        0         1
#> 166   19.98      1  48        0         0
#> 125   15.65      1  67        1         0
#> 10.1  10.53      1  34        0         0
#> 50.1  10.02      1  NA        1         0
#> 68    20.62      1  44        0         0
#> 113.1 22.86      1  34        0         0
#> 106   16.67      1  49        1         0
#> 139.3 21.49      1  63        1         0
#> 33    24.00      0  53        0         0
#> 196   24.00      0  19        0         0
#> 94    24.00      0  51        0         1
#> 141   24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 112   24.00      0  61        0         0
#> 9     24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 152   24.00      0  36        0         1
#> 20    24.00      0  46        1         0
#> 165   24.00      0  47        0         0
#> 38    24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 34    24.00      0  36        0         0
#> 53    24.00      0  32        0         1
#> 193   24.00      0  45        0         1
#> 53.1  24.00      0  32        0         1
#> 198   24.00      0  66        0         1
#> 118   24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 54    24.00      0  53        1         0
#> 144   24.00      0  28        0         1
#> 132   24.00      0  55        0         0
#> 67    24.00      0  25        0         0
#> 135   24.00      0  58        1         0
#> 47    24.00      0  38        0         1
#> 152.1 24.00      0  36        0         1
#> 196.1 24.00      0  19        0         0
#> 186   24.00      0  45        1         0
#> 31    24.00      0  36        0         1
#> 11    24.00      0  42        0         1
#> 118.1 24.00      0  44        1         0
#> 46    24.00      0  71        0         0
#> 53.2  24.00      0  32        0         1
#> 173   24.00      0  19        0         1
#> 121   24.00      0  57        1         0
#> 94.1  24.00      0  51        0         1
#> 163   24.00      0  66        0         0
#> 138   24.00      0  44        1         0
#> 161   24.00      0  45        0         0
#> 178   24.00      0  52        1         0
#> 38.1  24.00      0  31        1         0
#> 131   24.00      0  66        0         0
#> 173.1 24.00      0  19        0         1
#> 84    24.00      0  39        0         1
#> 147   24.00      0  76        1         0
#> 152.2 24.00      0  36        0         1
#> 28    24.00      0  67        1         0
#> 12    24.00      0  63        0         0
#> 138.1 24.00      0  44        1         0
#> 119   24.00      0  17        0         0
#> 135.1 24.00      0  58        1         0
#> 156   24.00      0  50        1         0
#> 137   24.00      0  45        1         0
#> 198.1 24.00      0  66        0         1
#> 152.3 24.00      0  36        0         1
#> 152.4 24.00      0  36        0         1
#> 176   24.00      0  43        0         1
#> 138.2 24.00      0  44        1         0
#> 47.1  24.00      0  38        0         1
#> 109   24.00      0  48        0         0
#> 142   24.00      0  53        0         0
#> 148   24.00      0  61        1         0
#> 46.1  24.00      0  71        0         0
#> 21    24.00      0  47        0         0
#> 121.1 24.00      0  57        1         0
#> 9.1   24.00      0  31        1         0
#> 131.1 24.00      0  66        0         0
#> 152.5 24.00      0  36        0         1
#> 72    24.00      0  40        0         1
#> 151   24.00      0  42        0         0
#> 118.2 24.00      0  44        1         0
#> 22    24.00      0  52        1         0
#> 152.6 24.00      0  36        0         1
#> 176.1 24.00      0  43        0         1
#> 2     24.00      0   9        0         0
#> 142.1 24.00      0  53        0         0
#> 162   24.00      0  51        0         0
#> 163.1 24.00      0  66        0         0
#> 144.1 24.00      0  28        0         1
#> 65    24.00      0  57        1         0
#> 83    24.00      0   6        0         0
#> 142.2 24.00      0  53        0         0
#> 198.2 24.00      0  66        0         1
#> 174   24.00      0  49        1         0
#> 142.3 24.00      0  53        0         0
#> 151.1 24.00      0  42        0         0
#> 72.1  24.00      0  40        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.731         NA        NA      NA
#> 2 age, Cure model           0.0201        NA        NA      NA
#> 3 grade_ii, Cure model     -0.195         NA        NA      NA
#> 4 grade_iii, Cure model     0.0715        NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0180        NA        NA      NA
#> 2 grade_ii, Survival model    0.707         NA        NA      NA
#> 3 grade_iii, Survival model   0.534         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.73129           0.02006          -0.19492           0.07147  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 258.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.73129323       0.02006477      -0.19492136       0.07147253 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01802348       0.70653512       0.53381395 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 8.538882e-02 9.286340e-01 2.335465e-01 4.650413e-01 2.176072e-02
#>   [6] 1.123309e-01 6.925914e-01 4.535113e-01 3.125282e-01 2.920585e-01
#>  [11] 6.397527e-01 1.643122e-01 1.198985e-01 1.198985e-01 3.971826e-01
#>  [16] 2.522938e-01 5.497498e-01 2.067471e-01 2.067471e-01 2.800121e-03
#>  [21] 3.023321e-01 2.718827e-01 9.000383e-01 6.136286e-01 6.884508e-04
#>  [26] 7.060902e-01 7.331527e-01 9.286340e-01 3.227682e-01 5.432415e-02
#>  [31] 2.800121e-03 4.650413e-01 4.083832e-01 3.750479e-01 5.623319e-01
#>  [36] 4.306692e-01 1.198985e-01 7.060902e-01 8.538882e-02 1.980022e-01
#>  [41] 6.136286e-01 6.397527e-01 3.435675e-01 2.994009e-02 5.432415e-02
#>  [46] 8.573878e-01 7.605196e-01 4.420557e-01 3.435675e-01 9.711890e-01
#>  [51] 7.879895e-01 4.650413e-01 9.471626e-05 6.791144e-01 1.808999e-01
#>  [56] 9.855479e-01 3.227682e-01 5.432415e-02 8.019213e-01 7.183926e-02
#>  [61] 4.083832e-01 3.425529e-02 6.004580e-01 1.479535e-02 7.468880e-01
#>  [66] 8.433060e-01 7.855129e-02 2.718827e-01 9.000383e-01 8.715410e-01
#>  [71] 2.335465e-01 1.479535e-02 2.067471e-01 5.623319e-01 7.742187e-01
#>  [76] 5.127006e-01 1.561477e-01 5.999410e-03 8.019213e-01 1.198985e-01
#>  [81] 1.122803e-02 2.620598e-01 9.286340e-01 5.623319e-01 3.891037e-02
#>  [86] 5.249569e-01 6.397527e-01 8.538882e-02 4.893990e-02 6.884508e-04
#>  [91] 5.999410e-03 3.891037e-02 3.435675e-01 8.019213e-01 5.373302e-01
#>  [96] 1.198985e-01 1.893393e-01 5.004806e-01 8.715410e-01 1.724969e-01
#> [101] 2.176072e-02 3.860896e-01 8.538882e-02 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>   139   187    76   100   113   153   123   188   134    41    57   190    36 
#> 21.49  9.92 19.22 16.07 22.86 21.33 13.00 16.16 17.81 18.02 14.46 20.81 21.19 
#>  36.1   130    88   157    55  55.1    86    40    51    61    96    78    14 
#> 21.19 16.47 18.37 15.10 19.34 19.34 23.81 18.00 18.23 10.12 14.54 23.88 12.89 
#>   140 187.1   184    66  86.1 100.1    85    30   180     5  36.2  14.1 139.1 
#> 12.68  9.92 17.77 22.13 23.81 16.07 16.44 17.43 14.82 16.43 21.19 12.89 21.49 
#>   170  96.1  57.1   111    63  66.1   159    37    79 111.1    70    56 100.2 
#> 19.54 14.54 14.46 17.45 22.77 22.13 10.55 12.52 16.23 17.45  7.38 12.21 16.07 
#>    24    13   128   127 184.1  66.2    49   175   192    15   133   129   154 
#> 23.89 14.34 20.35  3.53 17.77 22.13 12.19 21.91 16.44 22.68 14.65 23.41 12.63 
#>   107   136  51.1  61.1    10  76.1 129.1  55.2 180.1    42    39    90   168 
#> 11.18 21.83 18.23 10.12 10.53 19.22 23.41 19.34 14.82 12.43 15.59 20.94 23.72 
#>  49.1  36.3   164   108 187.2 180.2   169    29  57.2 139.2   194  78.1 168.1 
#> 12.19 21.19 23.60 18.29  9.92 14.82 22.41 15.45 14.46 21.49 22.40 23.88 23.72 
#> 169.1 111.2  49.2    18  36.4   166   125  10.1    68 113.1   106 139.3    33 
#> 22.41 17.45 12.19 15.21 21.19 19.98 15.65 10.53 20.62 22.86 16.67 21.49 24.00 
#>   196    94   141    95   112     9    75   152    20   165    38   185    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53   193  53.1   198   118    54   144   132    67   135    47 152.1 196.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186    31    11 118.1    46  53.2   173   121  94.1   163   138   161   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  38.1   131 173.1    84   147 152.2    28    12 138.1   119 135.1   156   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 198.1 152.3 152.4   176 138.2  47.1   109   142   148  46.1    21 121.1   9.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.1 152.5    72   151 118.2    22 152.6 176.1     2 142.1   162 163.1 144.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    65    83 142.2 198.2   174 142.3 151.1  72.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[64]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.005776744               0.343667651               0.486777296 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.056165752            -0.007562484             0.831653057 
#>   grade_iii, Cure model 
#>             1.111069609 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 76    19.22      1  54        0         1
#> 57    14.46      1  45        0         1
#> 139   21.49      1  63        1         0
#> 66    22.13      1  53        0         0
#> 167   15.55      1  56        1         0
#> 167.1 15.55      1  56        1         0
#> 56    12.21      1  60        0         0
#> 55    19.34      1  69        0         1
#> 153   21.33      1  55        1         0
#> 77     7.27      1  67        0         1
#> 63    22.77      1  31        1         0
#> 25     6.32      1  34        1         0
#> 127    3.53      1  62        0         1
#> 79    16.23      1  54        1         0
#> 68    20.62      1  44        0         0
#> 56.1  12.21      1  60        0         0
#> 117   17.46      1  26        0         1
#> 127.1  3.53      1  62        0         1
#> 129   23.41      1  53        1         0
#> 23    16.92      1  61        0         0
#> 99    21.19      1  38        0         1
#> 110   17.56      1  65        0         1
#> 57.1  14.46      1  45        0         1
#> 78    23.88      1  43        0         0
#> 69    23.23      1  25        0         1
#> 154   12.63      1  20        1         0
#> 155   13.08      1  26        0         0
#> 189   10.51      1  NA        1         0
#> 187    9.92      1  39        1         0
#> 18    15.21      1  49        1         0
#> 139.1 21.49      1  63        1         0
#> 170   19.54      1  43        0         1
#> 133   14.65      1  57        0         0
#> 92    22.92      1  47        0         1
#> 128   20.35      1  35        0         1
#> 101    9.97      1  10        0         1
#> 168   23.72      1  70        0         0
#> 63.1  22.77      1  31        1         0
#> 155.1 13.08      1  26        0         0
#> 13    14.34      1  54        0         1
#> 149    8.37      1  33        1         0
#> 36    21.19      1  48        0         1
#> 41    18.02      1  40        1         0
#> 129.1 23.41      1  53        1         0
#> 56.2  12.21      1  60        0         0
#> 167.2 15.55      1  56        1         0
#> 89    11.44      1  NA        0         0
#> 41.1  18.02      1  40        1         0
#> 169   22.41      1  46        0         0
#> 128.1 20.35      1  35        0         1
#> 42    12.43      1  49        0         1
#> 49    12.19      1  48        1         0
#> 15    22.68      1  48        0         0
#> 60    13.15      1  38        1         0
#> 32    20.90      1  37        1         0
#> 179   18.63      1  42        0         0
#> 136   21.83      1  43        0         1
#> 101.1  9.97      1  10        0         1
#> 70     7.38      1  30        1         0
#> 50    10.02      1  NA        1         0
#> 90    20.94      1  50        0         1
#> 63.2  22.77      1  31        1         0
#> 18.1  15.21      1  49        1         0
#> 167.3 15.55      1  56        1         0
#> 85    16.44      1  36        0         0
#> 23.1  16.92      1  61        0         0
#> 111   17.45      1  47        0         1
#> 149.1  8.37      1  33        1         0
#> 91     5.33      1  61        0         1
#> 128.2 20.35      1  35        0         1
#> 155.2 13.08      1  26        0         0
#> 107   11.18      1  54        1         0
#> 129.2 23.41      1  53        1         0
#> 69.1  23.23      1  25        0         1
#> 124    9.73      1  NA        1         0
#> 107.1 11.18      1  54        1         0
#> 184   17.77      1  38        0         0
#> 56.3  12.21      1  60        0         0
#> 24    23.89      1  38        0         0
#> 50.1  10.02      1  NA        1         0
#> 92.1  22.92      1  47        0         1
#> 91.1   5.33      1  61        0         1
#> 134   17.81      1  47        1         0
#> 5     16.43      1  51        0         1
#> 76.1  19.22      1  54        0         1
#> 5.1   16.43      1  51        0         1
#> 159   10.55      1  50        0         1
#> 125   15.65      1  67        1         0
#> 140   12.68      1  59        1         0
#> 68.1  20.62      1  44        0         0
#> 192   16.44      1  31        1         0
#> 166   19.98      1  48        0         0
#> 56.4  12.21      1  60        0         0
#> 134.1 17.81      1  47        1         0
#> 78.1  23.88      1  43        0         0
#> 41.2  18.02      1  40        1         0
#> 41.3  18.02      1  40        1         0
#> 129.3 23.41      1  53        1         0
#> 51    18.23      1  83        0         1
#> 85.1  16.44      1  36        0         0
#> 123   13.00      1  44        1         0
#> 124.1  9.73      1  NA        1         0
#> 179.1 18.63      1  42        0         0
#> 181   16.46      1  45        0         1
#> 110.1 17.56      1  65        0         1
#> 127.2  3.53      1  62        0         1
#> 113   22.86      1  34        0         0
#> 106   16.67      1  49        1         0
#> 108   18.29      1  39        0         1
#> 197   21.60      1  69        1         0
#> 42.1  12.43      1  49        0         1
#> 134.2 17.81      1  47        1         0
#> 3     24.00      0  31        1         0
#> 3.1   24.00      0  31        1         0
#> 33    24.00      0  53        0         0
#> 34    24.00      0  36        0         0
#> 193   24.00      0  45        0         1
#> 65    24.00      0  57        1         0
#> 64    24.00      0  43        0         0
#> 64.1  24.00      0  43        0         0
#> 84    24.00      0  39        0         1
#> 147   24.00      0  76        1         0
#> 132   24.00      0  55        0         0
#> 46    24.00      0  71        0         0
#> 22    24.00      0  52        1         0
#> 2     24.00      0   9        0         0
#> 48    24.00      0  31        1         0
#> 163   24.00      0  66        0         0
#> 176   24.00      0  43        0         1
#> 104   24.00      0  50        1         0
#> 162   24.00      0  51        0         0
#> 38    24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 62    24.00      0  71        0         0
#> 112   24.00      0  61        0         0
#> 62.1  24.00      0  71        0         0
#> 44    24.00      0  56        0         0
#> 142   24.00      0  53        0         0
#> 116   24.00      0  58        0         1
#> 131   24.00      0  66        0         0
#> 193.1 24.00      0  45        0         1
#> 160   24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 138   24.00      0  44        1         0
#> 142.1 24.00      0  53        0         0
#> 33.1  24.00      0  53        0         0
#> 109   24.00      0  48        0         0
#> 126.1 24.00      0  48        0         0
#> 152   24.00      0  36        0         1
#> 87    24.00      0  27        0         0
#> 131.1 24.00      0  66        0         0
#> 67    24.00      0  25        0         0
#> 19    24.00      0  57        0         1
#> 22.1  24.00      0  52        1         0
#> 121   24.00      0  57        1         0
#> 72    24.00      0  40        0         1
#> 178   24.00      0  52        1         0
#> 95    24.00      0  68        0         1
#> 46.1  24.00      0  71        0         0
#> 147.1 24.00      0  76        1         0
#> 119   24.00      0  17        0         0
#> 185   24.00      0  44        1         0
#> 102   24.00      0  49        0         0
#> 146   24.00      0  63        1         0
#> 135   24.00      0  58        1         0
#> 82    24.00      0  34        0         0
#> 178.1 24.00      0  52        1         0
#> 17    24.00      0  38        0         1
#> 120   24.00      0  68        0         1
#> 12    24.00      0  63        0         0
#> 148   24.00      0  61        1         0
#> 9     24.00      0  31        1         0
#> 103   24.00      0  56        1         0
#> 182   24.00      0  35        0         0
#> 7     24.00      0  37        1         0
#> 75    24.00      0  21        1         0
#> 64.2  24.00      0  43        0         0
#> 122   24.00      0  66        0         0
#> 54    24.00      0  53        1         0
#> 62.2  24.00      0  71        0         0
#> 22.2  24.00      0  52        1         0
#> 95.1  24.00      0  68        0         1
#> 115   24.00      0  NA        1         0
#> 47    24.00      0  38        0         1
#> 38.1  24.00      0  31        1         0
#> 19.1  24.00      0  57        0         1
#> 132.1 24.00      0  55        0         0
#> 84.1  24.00      0  39        0         1
#> 82.1  24.00      0  34        0         0
#> 161   24.00      0  45        0         0
#> 17.1  24.00      0  38        0         1
#> 74    24.00      0  43        0         1
#> 80    24.00      0  41        0         0
#> 162.1 24.00      0  51        0         0
#> 147.2 24.00      0  76        1         0
#> 109.1 24.00      0  48        0         0
#> 144   24.00      0  28        0         1
#> 83    24.00      0   6        0         0
#> 19.2  24.00      0  57        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.0562         NA        NA      NA
#> 2 age, Cure model         -0.00756        NA        NA      NA
#> 3 grade_ii, Cure model     0.832          NA        NA      NA
#> 4 grade_iii, Cure model    1.11           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00578        NA        NA      NA
#> 2 grade_ii, Survival model   0.344          NA        NA      NA
#> 3 grade_iii, Survival model  0.487          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.056166         -0.007562          0.831653          1.111070  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.7 
#> Residual Deviance: 254.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.056165752     -0.007562484      0.831653057      1.111069609 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.005776744      0.343667651      0.486777296 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.55539826 0.80897461 0.41206662 0.37652565 0.76564129 0.76564129
#>   [7] 0.88002877 0.54677605 0.43346715 0.96329341 0.31500077 0.96867318
#>  [13] 0.98456713 0.75261370 0.48343288 0.88002877 0.67781465 0.98456713
#>  [19] 0.17845175 0.69191182 0.44405475 0.66357739 0.80897461 0.08743548
#>  [25] 0.24292521 0.86265285 0.83307384 0.94152886 0.79046117 0.41206662
#>  [31] 0.53795580 0.80279992 0.27377615 0.50234812 0.93053663 0.14780821
#>  [37] 0.31500077 0.83307384 0.82107264 0.94701649 0.44405475 0.60431102
#>  [43] 0.17845175 0.88002877 0.76564129 0.60431102 0.36414047 0.50234812
#>  [49] 0.86851790 0.90814717 0.35162579 0.82708971 0.47377044 0.57188777
#>  [55] 0.38876664 0.93053663 0.95787136 0.46395871 0.31500077 0.79046117
#>  [61] 0.76564129 0.71944130 0.69191182 0.68490438 0.94701649 0.97403164
#>  [67] 0.50234812 0.83307384 0.91381125 0.17845175 0.24292521 0.91381125
#>  [73] 0.65620245 0.88002877 0.03917325 0.27377615 0.97403164 0.63426554
#>  [79] 0.73947751 0.55539826 0.73947751 0.92497650 0.75915758 0.85676447
#>  [85] 0.48343288 0.71944130 0.52897568 0.88002877 0.63426554 0.08743548
#>  [91] 0.60431102 0.60431102 0.17845175 0.59636745 0.71944130 0.85083604
#>  [97] 0.57188777 0.71262622 0.66357739 0.98456713 0.30113532 0.70573802
#> [103] 0.58824780 0.40060301 0.86851790 0.63426554 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000
#> 
#> $Time
#>    76    57   139    66   167 167.1    56    55   153    77    63    25   127 
#> 19.22 14.46 21.49 22.13 15.55 15.55 12.21 19.34 21.33  7.27 22.77  6.32  3.53 
#>    79    68  56.1   117 127.1   129    23    99   110  57.1    78    69   154 
#> 16.23 20.62 12.21 17.46  3.53 23.41 16.92 21.19 17.56 14.46 23.88 23.23 12.63 
#>   155   187    18 139.1   170   133    92   128   101   168  63.1 155.1    13 
#> 13.08  9.92 15.21 21.49 19.54 14.65 22.92 20.35  9.97 23.72 22.77 13.08 14.34 
#>   149    36    41 129.1  56.2 167.2  41.1   169 128.1    42    49    15    60 
#>  8.37 21.19 18.02 23.41 12.21 15.55 18.02 22.41 20.35 12.43 12.19 22.68 13.15 
#>    32   179   136 101.1    70    90  63.2  18.1 167.3    85  23.1   111 149.1 
#> 20.90 18.63 21.83  9.97  7.38 20.94 22.77 15.21 15.55 16.44 16.92 17.45  8.37 
#>    91 128.2 155.2   107 129.2  69.1 107.1   184  56.3    24  92.1  91.1   134 
#>  5.33 20.35 13.08 11.18 23.41 23.23 11.18 17.77 12.21 23.89 22.92  5.33 17.81 
#>     5  76.1   5.1   159   125   140  68.1   192   166  56.4 134.1  78.1  41.2 
#> 16.43 19.22 16.43 10.55 15.65 12.68 20.62 16.44 19.98 12.21 17.81 23.88 18.02 
#>  41.3 129.3    51  85.1   123 179.1   181 110.1 127.2   113   106   108   197 
#> 18.02 23.41 18.23 16.44 13.00 18.63 16.46 17.56  3.53 22.86 16.67 18.29 21.60 
#>  42.1 134.2     3   3.1    33    34   193    65    64  64.1    84   147   132 
#> 12.43 17.81 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    46    22     2    48   163   176   104   162    38    71   126    62   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  62.1    44   142   116   131 193.1   160    21   138 142.1  33.1   109 126.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152    87 131.1    67    19  22.1   121    72   178    95  46.1 147.1   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185   102   146   135    82 178.1    17   120    12   148     9   103   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7    75  64.2   122    54  62.2  22.2  95.1    47  38.1  19.1 132.1  84.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  82.1   161  17.1    74    80 162.1 147.2 109.1   144    83  19.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[65]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01646567                0.32745178                0.24565416 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.14227126              0.01962846             -0.04612025 
#>   grade_iii, Cure model 
#>              1.10829982 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 76    19.22      1  54        0         1
#> 25     6.32      1  34        1         0
#> 68    20.62      1  44        0         0
#> 199   19.81      1  NA        0         1
#> 128   20.35      1  35        0         1
#> 79    16.23      1  54        1         0
#> 86    23.81      1  58        0         1
#> 96    14.54      1  33        0         1
#> 49    12.19      1  48        1         0
#> 92    22.92      1  47        0         1
#> 127    3.53      1  62        0         1
#> 59    10.16      1  NA        1         0
#> 45    17.42      1  54        0         1
#> 108   18.29      1  39        0         1
#> 111   17.45      1  47        0         1
#> 77     7.27      1  67        0         1
#> 99    21.19      1  38        0         1
#> 159   10.55      1  50        0         1
#> 70     7.38      1  30        1         0
#> 90    20.94      1  50        0         1
#> 167   15.55      1  56        1         0
#> 123   13.00      1  44        1         0
#> 129   23.41      1  53        1         0
#> 124    9.73      1  NA        1         0
#> 166   19.98      1  48        0         0
#> 15    22.68      1  48        0         0
#> 13    14.34      1  54        0         1
#> 145   10.07      1  65        1         0
#> 92.1  22.92      1  47        0         1
#> 111.1 17.45      1  47        0         1
#> 63    22.77      1  31        1         0
#> 129.1 23.41      1  53        1         0
#> 190   20.81      1  42        1         0
#> 89    11.44      1  NA        0         0
#> 189   10.51      1  NA        1         0
#> 97    19.14      1  65        0         1
#> 192   16.44      1  31        1         0
#> 55    19.34      1  69        0         1
#> 23    16.92      1  61        0         0
#> 175   21.91      1  43        0         0
#> 101    9.97      1  10        0         1
#> 139   21.49      1  63        1         0
#> 111.2 17.45      1  47        0         1
#> 169   22.41      1  46        0         0
#> 194   22.40      1  38        0         1
#> 100   16.07      1  60        0         0
#> 124.1  9.73      1  NA        1         0
#> 197   21.60      1  69        1         0
#> 106   16.67      1  49        1         0
#> 133   14.65      1  57        0         0
#> 8     18.43      1  32        0         0
#> 13.1  14.34      1  54        0         1
#> 192.1 16.44      1  31        1         0
#> 66    22.13      1  53        0         0
#> 127.1  3.53      1  62        0         1
#> 199.1 19.81      1  NA        0         1
#> 50    10.02      1  NA        1         0
#> 55.1  19.34      1  69        0         1
#> 89.1  11.44      1  NA        0         0
#> 37    12.52      1  57        1         0
#> 77.1   7.27      1  67        0         1
#> 180   14.82      1  37        0         0
#> 157   15.10      1  47        0         0
#> 183    9.24      1  67        1         0
#> 130   16.47      1  53        0         1
#> 97.1  19.14      1  65        0         1
#> 139.1 21.49      1  63        1         0
#> 4     17.64      1  NA        0         1
#> 168   23.72      1  70        0         0
#> 180.1 14.82      1  37        0         0
#> 170   19.54      1  43        0         1
#> 179   18.63      1  42        0         0
#> 39    15.59      1  37        0         1
#> 14    12.89      1  21        0         0
#> 29    15.45      1  68        1         0
#> 177   12.53      1  75        0         0
#> 29.1  15.45      1  68        1         0
#> 5     16.43      1  51        0         1
#> 15.1  22.68      1  48        0         0
#> 158   20.14      1  74        1         0
#> 101.1  9.97      1  10        0         1
#> 139.2 21.49      1  63        1         0
#> 70.1   7.38      1  30        1         0
#> 59.1  10.16      1  NA        1         0
#> 93    10.33      1  52        0         1
#> 189.1 10.51      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 96.1  14.54      1  33        0         1
#> 6     15.64      1  39        0         0
#> 57    14.46      1  45        0         1
#> 85    16.44      1  36        0         0
#> 113   22.86      1  34        0         0
#> 59.2  10.16      1  NA        1         0
#> 197.1 21.60      1  69        1         0
#> 105   19.75      1  60        0         0
#> 57.1  14.46      1  45        0         1
#> 6.1   15.64      1  39        0         0
#> 195   11.76      1  NA        1         0
#> 96.2  14.54      1  33        0         1
#> 88    18.37      1  47        0         0
#> 16     8.71      1  71        0         1
#> 58    19.34      1  39        0         0
#> 41    18.02      1  40        1         0
#> 164   23.60      1  76        0         1
#> 39.1  15.59      1  37        0         1
#> 125   15.65      1  67        1         0
#> 68.1  20.62      1  44        0         0
#> 60    13.15      1  38        1         0
#> 194.1 22.40      1  38        0         1
#> 96.3  14.54      1  33        0         1
#> 89.2  11.44      1  NA        0         0
#> 195.1 11.76      1  NA        1         0
#> 20    24.00      0  46        1         0
#> 102   24.00      0  49        0         0
#> 196   24.00      0  19        0         0
#> 143   24.00      0  51        0         0
#> 75    24.00      0  21        1         0
#> 34    24.00      0  36        0         0
#> 28    24.00      0  67        1         0
#> 147   24.00      0  76        1         0
#> 142   24.00      0  53        0         0
#> 20.1  24.00      0  46        1         0
#> 160   24.00      0  31        1         0
#> 163   24.00      0  66        0         0
#> 64    24.00      0  43        0         0
#> 152   24.00      0  36        0         1
#> 141   24.00      0  44        1         0
#> 182   24.00      0  35        0         0
#> 109   24.00      0  48        0         0
#> 162   24.00      0  51        0         0
#> 118   24.00      0  44        1         0
#> 72    24.00      0  40        0         1
#> 9     24.00      0  31        1         0
#> 182.1 24.00      0  35        0         0
#> 165   24.00      0  47        0         0
#> 147.1 24.00      0  76        1         0
#> 144   24.00      0  28        0         1
#> 28.1  24.00      0  67        1         0
#> 173   24.00      0  19        0         1
#> 151   24.00      0  42        0         0
#> 142.1 24.00      0  53        0         0
#> 182.2 24.00      0  35        0         0
#> 44    24.00      0  56        0         0
#> 12    24.00      0  63        0         0
#> 28.2  24.00      0  67        1         0
#> 28.3  24.00      0  67        1         0
#> 31    24.00      0  36        0         1
#> 147.2 24.00      0  76        1         0
#> 17    24.00      0  38        0         1
#> 141.1 24.00      0  44        1         0
#> 102.1 24.00      0  49        0         0
#> 152.1 24.00      0  36        0         1
#> 132   24.00      0  55        0         0
#> 182.3 24.00      0  35        0         0
#> 116   24.00      0  58        0         1
#> 109.1 24.00      0  48        0         0
#> 74    24.00      0  43        0         1
#> 115   24.00      0  NA        1         0
#> 47    24.00      0  38        0         1
#> 3     24.00      0  31        1         0
#> 151.1 24.00      0  42        0         0
#> 94    24.00      0  51        0         1
#> 122   24.00      0  66        0         0
#> 161   24.00      0  45        0         0
#> 38    24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 193   24.00      0  45        0         1
#> 156   24.00      0  50        1         0
#> 137   24.00      0  45        1         0
#> 120   24.00      0  68        0         1
#> 147.3 24.00      0  76        1         0
#> 162.1 24.00      0  51        0         0
#> 71    24.00      0  51        0         0
#> 20.2  24.00      0  46        1         0
#> 75.1  24.00      0  21        1         0
#> 27    24.00      0  63        1         0
#> 178   24.00      0  52        1         0
#> 173.1 24.00      0  19        0         1
#> 1     24.00      0  23        1         0
#> 196.1 24.00      0  19        0         0
#> 148   24.00      0  61        1         0
#> 1.1   24.00      0  23        1         0
#> 46    24.00      0  71        0         0
#> 19    24.00      0  57        0         1
#> 67    24.00      0  25        0         0
#> 98    24.00      0  34        1         0
#> 156.1 24.00      0  50        1         0
#> 27.1  24.00      0  63        1         0
#> 142.2 24.00      0  53        0         0
#> 144.1 24.00      0  28        0         1
#> 115.1 24.00      0  NA        1         0
#> 102.2 24.00      0  49        0         0
#> 174   24.00      0  49        1         0
#> 47.1  24.00      0  38        0         1
#> 172   24.00      0  41        0         0
#> 54    24.00      0  53        1         0
#> 119   24.00      0  17        0         0
#> 152.2 24.00      0  36        0         1
#> 65    24.00      0  57        1         0
#> 73    24.00      0  NA        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.14          NA        NA      NA
#> 2 age, Cure model           0.0196        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0461        NA        NA      NA
#> 4 grade_iii, Cure model     1.11          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0165        NA        NA      NA
#> 2 grade_ii, Survival model    0.327         NA        NA      NA
#> 3 grade_iii, Survival model   0.246         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.14227           0.01963          -0.04612           1.10830  
#> 
#> Degrees of Freedom: 180 Total (i.e. Null);  177 Residual
#> Null Deviance:	    250.3 
#> Residual Deviance: 236.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.14227126       0.01962846      -0.04612025       1.10829982 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01646567       0.32745178       0.24565416 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 1.594985e-01 9.459167e-01 8.642132e-02 9.922587e-02 3.560332e-01
#>   [6] 3.535246e-05 5.422191e-01 7.410090e-01 5.143048e-03 9.638159e-01
#>  [11] 2.654394e-01 2.148007e-01 2.348730e-01 9.105944e-01 6.840940e-02
#>  [16] 7.575101e-01 8.760439e-01 7.422795e-02 4.446103e-01 6.766704e-01
#>  [21] 2.182279e-03 1.129900e-01 1.423019e-02 6.300913e-01 7.909961e-01
#>  [26] 5.143048e-03 2.348730e-01 1.161112e-02 2.182279e-03 8.025389e-02
#>  [31] 1.681495e-01 3.100446e-01 1.355112e-01 2.762515e-01 3.455614e-02
#>  [36] 8.080117e-01 5.278042e-02 2.348730e-01 2.006123e-02 2.351659e-02
#>  [41] 3.681391e-01 4.329129e-02 2.873386e-01 5.275970e-01 1.954007e-01
#>  [46] 6.300913e-01 3.100446e-01 3.053256e-02 9.638159e-01 1.355112e-01
#>  [51] 7.246430e-01 9.105944e-01 4.992301e-01 4.852082e-01 8.415666e-01
#>  [56] 2.985910e-01 1.681495e-01 5.278042e-02 2.698987e-04 4.992301e-01
#>  [61] 1.277963e-01 1.860129e-01 4.186041e-01 6.925041e-01 4.579873e-01
#>  [66] 7.084443e-01 4.579873e-01 3.441017e-01 1.423019e-02 1.059762e-01
#>  [71] 8.080117e-01 5.278042e-02 8.760439e-01 7.741704e-01 3.883267e-02
#>  [76] 5.422191e-01 3.930816e-01 5.999269e-01 3.100446e-01 9.089130e-03
#>  [81] 4.329129e-02 1.202502e-01 5.999269e-01 3.930816e-01 5.422191e-01
#>  [86] 2.049770e-01 8.587010e-01 1.355112e-01 2.247736e-01 9.307695e-04
#>  [91] 4.186041e-01 3.805000e-01 8.642132e-02 6.609572e-01 2.351659e-02
#>  [96] 5.422191e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [101] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00
#> 
#> $Time
#>    76    25    68   128    79    86    96    49    92   127    45   108   111 
#> 19.22  6.32 20.62 20.35 16.23 23.81 14.54 12.19 22.92  3.53 17.42 18.29 17.45 
#>    77    99   159    70    90   167   123   129   166    15    13   145  92.1 
#>  7.27 21.19 10.55  7.38 20.94 15.55 13.00 23.41 19.98 22.68 14.34 10.07 22.92 
#> 111.1    63 129.1   190    97   192    55    23   175   101   139 111.2   169 
#> 17.45 22.77 23.41 20.81 19.14 16.44 19.34 16.92 21.91  9.97 21.49 17.45 22.41 
#>   194   100   197   106   133     8  13.1 192.1    66 127.1  55.1    37  77.1 
#> 22.40 16.07 21.60 16.67 14.65 18.43 14.34 16.44 22.13  3.53 19.34 12.52  7.27 
#>   180   157   183   130  97.1 139.1   168 180.1   170   179    39    14    29 
#> 14.82 15.10  9.24 16.47 19.14 21.49 23.72 14.82 19.54 18.63 15.59 12.89 15.45 
#>   177  29.1     5  15.1   158 101.1 139.2  70.1    93   136  96.1     6    57 
#> 12.53 15.45 16.43 22.68 20.14  9.97 21.49  7.38 10.33 21.83 14.54 15.64 14.46 
#>    85   113 197.1   105  57.1   6.1  96.2    88    16    58    41   164  39.1 
#> 16.44 22.86 21.60 19.75 14.46 15.64 14.54 18.37  8.71 19.34 18.02 23.60 15.59 
#>   125  68.1    60 194.1  96.3    20   102   196   143    75    34    28   147 
#> 15.65 20.62 13.15 22.40 14.54 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142  20.1   160   163    64   152   141   182   109   162   118    72     9 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 182.1   165 147.1   144  28.1   173   151 142.1 182.2    44    12  28.2  28.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31 147.2    17 141.1 102.1 152.1   132 182.3   116 109.1    74    47     3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 151.1    94   122   161    38     7   193   156   137   120 147.3 162.1    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  20.2  75.1    27   178 173.1     1 196.1   148   1.1    46    19    67    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 156.1  27.1 142.2 144.1 102.2   174  47.1   172    54   119 152.2    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[66]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003049815               0.806885043               0.117111217 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.71190941              0.01126019              0.02928152 
#>   grade_iii, Cure model 
#>              1.18506985 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 128   20.35      1  35        0         1
#> 181   16.46      1  45        0         1
#> 56    12.21      1  60        0         0
#> 133   14.65      1  57        0         0
#> 39    15.59      1  37        0         1
#> 130   16.47      1  53        0         1
#> 90    20.94      1  50        0         1
#> 169   22.41      1  46        0         0
#> 29    15.45      1  68        1         0
#> 57    14.46      1  45        0         1
#> 25     6.32      1  34        1         0
#> 110   17.56      1  65        0         1
#> 70     7.38      1  30        1         0
#> 36    21.19      1  48        0         1
#> 68    20.62      1  44        0         0
#> 150   20.33      1  48        0         0
#> 58    19.34      1  39        0         0
#> 69    23.23      1  25        0         1
#> 167   15.55      1  56        1         0
#> 93    10.33      1  52        0         1
#> 16     8.71      1  71        0         1
#> 167.1 15.55      1  56        1         0
#> 32    20.90      1  37        1         0
#> 18    15.21      1  49        1         0
#> 110.1 17.56      1  65        0         1
#> 175   21.91      1  43        0         0
#> 32.1  20.90      1  37        1         0
#> 57.1  14.46      1  45        0         1
#> 190   20.81      1  42        1         0
#> 39.1  15.59      1  37        0         1
#> 51    18.23      1  83        0         1
#> 85    16.44      1  36        0         0
#> 124    9.73      1  NA        1         0
#> 175.1 21.91      1  43        0         0
#> 189   10.51      1  NA        1         0
#> 153   21.33      1  55        1         0
#> 70.1   7.38      1  30        1         0
#> 37    12.52      1  57        1         0
#> 187    9.92      1  39        1         0
#> 37.1  12.52      1  57        1         0
#> 66    22.13      1  53        0         0
#> 192   16.44      1  31        1         0
#> 133.1 14.65      1  57        0         0
#> 106   16.67      1  49        1         0
#> 42    12.43      1  49        0         1
#> 158   20.14      1  74        1         0
#> 70.2   7.38      1  30        1         0
#> 15    22.68      1  48        0         0
#> 8     18.43      1  32        0         0
#> 180   14.82      1  37        0         0
#> 10    10.53      1  34        0         0
#> 164   23.60      1  76        0         1
#> 114   13.68      1  NA        0         0
#> 49    12.19      1  48        1         0
#> 77     7.27      1  67        0         1
#> 111   17.45      1  47        0         1
#> 91     5.33      1  61        0         1
#> 167.2 15.55      1  56        1         0
#> 111.1 17.45      1  47        0         1
#> 124.1  9.73      1  NA        1         0
#> 150.1 20.33      1  48        0         0
#> 106.1 16.67      1  49        1         0
#> 192.1 16.44      1  31        1         0
#> 61    10.12      1  36        0         1
#> 168   23.72      1  70        0         0
#> 51.1  18.23      1  83        0         1
#> 90.1  20.94      1  50        0         1
#> 177   12.53      1  75        0         0
#> 110.2 17.56      1  65        0         1
#> 113   22.86      1  34        0         0
#> 58.1  19.34      1  39        0         0
#> 155   13.08      1  26        0         0
#> 18.1  15.21      1  49        1         0
#> 177.1 12.53      1  75        0         0
#> 199   19.81      1  NA        0         1
#> 159   10.55      1  50        0         1
#> 97    19.14      1  65        0         1
#> 77.1   7.27      1  67        0         1
#> 86    23.81      1  58        0         1
#> 77.2   7.27      1  67        0         1
#> 133.2 14.65      1  57        0         0
#> 37.2  12.52      1  57        1         0
#> 86.1  23.81      1  58        0         1
#> 13    14.34      1  54        0         1
#> 78    23.88      1  43        0         0
#> 51.2  18.23      1  83        0         1
#> 15.1  22.68      1  48        0         0
#> 155.1 13.08      1  26        0         0
#> 86.2  23.81      1  58        0         1
#> 52    10.42      1  52        0         1
#> 69.1  23.23      1  25        0         1
#> 184   17.77      1  38        0         0
#> 110.3 17.56      1  65        0         1
#> 69.2  23.23      1  25        0         1
#> 5     16.43      1  51        0         1
#> 26    15.77      1  49        0         1
#> 145   10.07      1  65        1         0
#> 59    10.16      1  NA        1         0
#> 88    18.37      1  47        0         0
#> 59.1  10.16      1  NA        1         0
#> 106.2 16.67      1  49        1         0
#> 52.1  10.42      1  52        0         1
#> 36.1  21.19      1  48        0         1
#> 77.3   7.27      1  67        0         1
#> 149    8.37      1  33        1         0
#> 81    14.06      1  34        0         0
#> 123   13.00      1  44        1         0
#> 51.3  18.23      1  83        0         1
#> 99    21.19      1  38        0         1
#> 79    16.23      1  54        1         0
#> 181.1 16.46      1  45        0         1
#> 133.3 14.65      1  57        0         0
#> 112   24.00      0  61        0         0
#> 162   24.00      0  51        0         0
#> 104   24.00      0  50        1         0
#> 1     24.00      0  23        1         0
#> 47    24.00      0  38        0         1
#> 185   24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 71    24.00      0  51        0         0
#> 1.1   24.00      0  23        1         0
#> 73    24.00      0  NA        0         1
#> 137   24.00      0  45        1         0
#> 142   24.00      0  53        0         0
#> 2     24.00      0   9        0         0
#> 47.1  24.00      0  38        0         1
#> 103   24.00      0  56        1         0
#> 104.1 24.00      0  50        1         0
#> 137.1 24.00      0  45        1         0
#> 34    24.00      0  36        0         0
#> 102   24.00      0  49        0         0
#> 142.1 24.00      0  53        0         0
#> 47.2  24.00      0  38        0         1
#> 9     24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 112.1 24.00      0  61        0         0
#> 95    24.00      0  68        0         1
#> 3     24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 35    24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 28    24.00      0  67        1         0
#> 27    24.00      0  63        1         0
#> 148   24.00      0  61        1         0
#> 84    24.00      0  39        0         1
#> 165   24.00      0  47        0         0
#> 118   24.00      0  44        1         0
#> 22    24.00      0  52        1         0
#> 173   24.00      0  19        0         1
#> 83    24.00      0   6        0         0
#> 104.2 24.00      0  50        1         0
#> 7     24.00      0  37        1         0
#> 62    24.00      0  71        0         0
#> 44    24.00      0  56        0         0
#> 165.1 24.00      0  47        0         0
#> 137.2 24.00      0  45        1         0
#> 53    24.00      0  32        0         1
#> 54    24.00      0  53        1         0
#> 172   24.00      0  41        0         0
#> 54.1  24.00      0  53        1         0
#> 84.1  24.00      0  39        0         1
#> 94    24.00      0  51        0         1
#> 138   24.00      0  44        1         0
#> 143   24.00      0  51        0         0
#> 73.1  24.00      0  NA        0         1
#> 162.1 24.00      0  51        0         0
#> 62.1  24.00      0  71        0         0
#> 186   24.00      0  45        1         0
#> 11    24.00      0  42        0         1
#> 3.1   24.00      0  31        1         0
#> 132   24.00      0  55        0         0
#> 131   24.00      0  66        0         0
#> 62.2  24.00      0  71        0         0
#> 98    24.00      0  34        1         0
#> 176   24.00      0  43        0         1
#> 138.1 24.00      0  44        1         0
#> 28.1  24.00      0  67        1         0
#> 102.1 24.00      0  49        0         0
#> 161   24.00      0  45        0         0
#> 7.1   24.00      0  37        1         0
#> 44.1  24.00      0  56        0         0
#> 126   24.00      0  48        0         0
#> 165.2 24.00      0  47        0         0
#> 191   24.00      0  60        0         1
#> 198   24.00      0  66        0         1
#> 135   24.00      0  58        1         0
#> 116   24.00      0  58        0         1
#> 182   24.00      0  35        0         0
#> 2.1   24.00      0   9        0         0
#> 65    24.00      0  57        1         0
#> 131.1 24.00      0  66        0         0
#> 87.1  24.00      0  27        0         0
#> 82    24.00      0  34        0         0
#> 38    24.00      0  31        1         0
#> 162.2 24.00      0  51        0         0
#> 75    24.00      0  21        1         0
#> 94.1  24.00      0  51        0         1
#> 22.1  24.00      0  52        1         0
#> 142.2 24.00      0  53        0         0
#> 120   24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.712         NA        NA      NA
#> 2 age, Cure model           0.0113        NA        NA      NA
#> 3 grade_ii, Cure model      0.0293        NA        NA      NA
#> 4 grade_iii, Cure model     1.19          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00305        NA        NA      NA
#> 2 grade_ii, Survival model   0.807          NA        NA      NA
#> 3 grade_iii, Survival model  0.117          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.71191           0.01126           0.02928           1.18507  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 247.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.71190941       0.01126019       0.02928152       1.18506985 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003049815      0.806885043      0.117111217 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.40187626 0.62623571 0.87124731 0.75614357 0.69044911 0.61779711
#>   [7] 0.33442563 0.22788290 0.72787077 0.78365557 0.98830968 0.53873219
#>  [13] 0.94713863 0.29799071 0.39125485 0.41242774 0.44311933 0.14162183
#>  [19] 0.70594514 0.90965029 0.93482128 0.70594514 0.35862619 0.73512465
#>  [25] 0.53873219 0.25705546 0.35862619 0.78365557 0.38059188 0.69044911
#>  [31] 0.49240115 0.64287028 0.25705546 0.28483190 0.94713863 0.84533924
#>  [37] 0.92861654 0.84533924 0.24254597 0.64287028 0.75614357 0.59271690
#>  [43] 0.86474477 0.43309640 0.94713863 0.19923256 0.47270966 0.74912051
#>  [49] 0.89056001 0.12462373 0.87774012 0.96490772 0.57464269 0.99416093
#>  [55] 0.70594514 0.57464269 0.41242774 0.59271690 0.64287028 0.91600474
#>  [61] 0.10660535 0.49240115 0.33442563 0.83183360 0.53873219 0.18399699
#>  [67] 0.44311933 0.81128640 0.73512465 0.83183360 0.88415725 0.46282731
#>  [73] 0.96490772 0.05964173 0.96490772 0.75614357 0.84533924 0.05964173
#>  [79] 0.79746365 0.02481039 0.49240115 0.19923256 0.81128640 0.05964173
#>  [85] 0.89695774 0.14162183 0.52928163 0.53873219 0.14162183 0.66672731
#>  [91] 0.68261140 0.92234798 0.48257088 0.59271690 0.89695774 0.29799071
#>  [97] 0.96490772 0.94100974 0.80437827 0.82502462 0.49240115 0.29799071
#> [103] 0.67474610 0.62623571 0.75614357 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   128   181    56   133    39   130    90   169    29    57    25   110    70 
#> 20.35 16.46 12.21 14.65 15.59 16.47 20.94 22.41 15.45 14.46  6.32 17.56  7.38 
#>    36    68   150    58    69   167    93    16 167.1    32    18 110.1   175 
#> 21.19 20.62 20.33 19.34 23.23 15.55 10.33  8.71 15.55 20.90 15.21 17.56 21.91 
#>  32.1  57.1   190  39.1    51    85 175.1   153  70.1    37   187  37.1    66 
#> 20.90 14.46 20.81 15.59 18.23 16.44 21.91 21.33  7.38 12.52  9.92 12.52 22.13 
#>   192 133.1   106    42   158  70.2    15     8   180    10   164    49    77 
#> 16.44 14.65 16.67 12.43 20.14  7.38 22.68 18.43 14.82 10.53 23.60 12.19  7.27 
#>   111    91 167.2 111.1 150.1 106.1 192.1    61   168  51.1  90.1   177 110.2 
#> 17.45  5.33 15.55 17.45 20.33 16.67 16.44 10.12 23.72 18.23 20.94 12.53 17.56 
#>   113  58.1   155  18.1 177.1   159    97  77.1    86  77.2 133.2  37.2  86.1 
#> 22.86 19.34 13.08 15.21 12.53 10.55 19.14  7.27 23.81  7.27 14.65 12.52 23.81 
#>    13    78  51.2  15.1 155.1  86.2    52  69.1   184 110.3  69.2     5    26 
#> 14.34 23.88 18.23 22.68 13.08 23.81 10.42 23.23 17.77 17.56 23.23 16.43 15.77 
#>   145    88 106.2  52.1  36.1  77.3   149    81   123  51.3    99    79 181.1 
#> 10.07 18.37 16.67 10.42 21.19  7.27  8.37 14.06 13.00 18.23 21.19 16.23 16.46 
#> 133.3   112   162   104     1    47   185   146    71   1.1   137   142     2 
#> 14.65 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  47.1   103 104.1 137.1    34   102 142.1  47.2     9   178 112.1    95     3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87    35    21    28    27   148    84   165   118    22   173    83 104.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7    62    44 165.1 137.2    53    54   172  54.1  84.1    94   138   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 162.1  62.1   186    11   3.1   132   131  62.2    98   176 138.1  28.1 102.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161   7.1  44.1   126 165.2   191   198   135   116   182   2.1    65 131.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  87.1    82    38 162.2    75  94.1  22.1 142.2   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[67]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003626279               0.542371313               0.661278189 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.82728486              0.02138797             -0.43676814 
#>   grade_iii, Cure model 
#>              0.44659299 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 150   20.33      1  48        0         0
#> 129   23.41      1  53        1         0
#> 184   17.77      1  38        0         0
#> 43    12.10      1  61        0         1
#> 139   21.49      1  63        1         0
#> 13    14.34      1  54        0         1
#> 14    12.89      1  21        0         0
#> 124    9.73      1  NA        1         0
#> 134   17.81      1  47        1         0
#> 4     17.64      1  NA        0         1
#> 59    10.16      1  NA        1         0
#> 145   10.07      1  65        1         0
#> 61    10.12      1  36        0         1
#> 133   14.65      1  57        0         0
#> 37    12.52      1  57        1         0
#> 32    20.90      1  37        1         0
#> 157   15.10      1  47        0         0
#> 194   22.40      1  38        0         1
#> 61.1  10.12      1  36        0         1
#> 140   12.68      1  59        1         0
#> 157.1 15.10      1  47        0         0
#> 127    3.53      1  62        0         1
#> 123   13.00      1  44        1         0
#> 78    23.88      1  43        0         0
#> 59.1  10.16      1  NA        1         0
#> 68    20.62      1  44        0         0
#> 136   21.83      1  43        0         1
#> 187    9.92      1  39        1         0
#> 91     5.33      1  61        0         1
#> 192   16.44      1  31        1         0
#> 197   21.60      1  69        1         0
#> 52    10.42      1  52        0         1
#> 153   21.33      1  55        1         0
#> 175   21.91      1  43        0         0
#> 155   13.08      1  26        0         0
#> 101    9.97      1  10        0         1
#> 25     6.32      1  34        1         0
#> 5     16.43      1  51        0         1
#> 166   19.98      1  48        0         0
#> 170   19.54      1  43        0         1
#> 169   22.41      1  46        0         0
#> 89    11.44      1  NA        0         0
#> 55    19.34      1  69        0         1
#> 99    21.19      1  38        0         1
#> 61.2  10.12      1  36        0         1
#> 170.1 19.54      1  43        0         1
#> 183    9.24      1  67        1         0
#> 127.1  3.53      1  62        0         1
#> 61.3  10.12      1  36        0         1
#> 24    23.89      1  38        0         0
#> 13.1  14.34      1  54        0         1
#> 190   20.81      1  42        1         0
#> 195   11.76      1  NA        1         0
#> 77     7.27      1  67        0         1
#> 13.2  14.34      1  54        0         1
#> 99.1  21.19      1  38        0         1
#> 169.1 22.41      1  46        0         0
#> 26    15.77      1  49        0         1
#> 99.2  21.19      1  38        0         1
#> 43.1  12.10      1  61        0         1
#> 61.4  10.12      1  36        0         1
#> 184.1 17.77      1  38        0         0
#> 10    10.53      1  34        0         0
#> 61.5  10.12      1  36        0         1
#> 139.1 21.49      1  63        1         0
#> 39    15.59      1  37        0         1
#> 100   16.07      1  60        0         0
#> 179   18.63      1  42        0         0
#> 52.1  10.42      1  52        0         1
#> 179.1 18.63      1  42        0         0
#> 45    17.42      1  54        0         1
#> 77.1   7.27      1  67        0         1
#> 69    23.23      1  25        0         1
#> 145.1 10.07      1  65        1         0
#> 159   10.55      1  50        0         1
#> 58    19.34      1  39        0         0
#> 197.1 21.60      1  69        1         0
#> 96    14.54      1  33        0         1
#> 145.2 10.07      1  65        1         0
#> 42    12.43      1  49        0         1
#> 190.1 20.81      1  42        1         0
#> 51    18.23      1  83        0         1
#> 26.1  15.77      1  49        0         1
#> 159.1 10.55      1  50        0         1
#> 167   15.55      1  56        1         0
#> 124.1  9.73      1  NA        1         0
#> 113   22.86      1  34        0         0
#> 78.1  23.88      1  43        0         0
#> 188   16.16      1  46        0         1
#> 177   12.53      1  75        0         0
#> 179.2 18.63      1  42        0         0
#> 81    14.06      1  34        0         0
#> 100.1 16.07      1  60        0         0
#> 117   17.46      1  26        0         1
#> 125   15.65      1  67        1         0
#> 77.2   7.27      1  67        0         1
#> 66    22.13      1  53        0         0
#> 86    23.81      1  58        0         1
#> 90    20.94      1  50        0         1
#> 25.1   6.32      1  34        1         0
#> 49    12.19      1  48        1         0
#> 150.1 20.33      1  48        0         0
#> 114   13.68      1  NA        0         0
#> 14.1  12.89      1  21        0         0
#> 149    8.37      1  33        1         0
#> 125.1 15.65      1  67        1         0
#> 30    17.43      1  78        0         0
#> 25.2   6.32      1  34        1         0
#> 50    10.02      1  NA        1         0
#> 175.1 21.91      1  43        0         0
#> 6     15.64      1  39        0         0
#> 97    19.14      1  65        0         1
#> 48    24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 116   24.00      0  58        0         1
#> 198   24.00      0  66        0         1
#> 2     24.00      0   9        0         0
#> 131   24.00      0  66        0         0
#> 176   24.00      0  43        0         1
#> 20    24.00      0  46        1         0
#> 163   24.00      0  66        0         0
#> 137   24.00      0  45        1         0
#> 71    24.00      0  51        0         0
#> 193   24.00      0  45        0         1
#> 98    24.00      0  34        1         0
#> 84    24.00      0  39        0         1
#> 144   24.00      0  28        0         1
#> 173   24.00      0  19        0         1
#> 75    24.00      0  21        1         0
#> 200   24.00      0  64        0         0
#> 28    24.00      0  67        1         0
#> 102   24.00      0  49        0         0
#> 152   24.00      0  36        0         1
#> 53    24.00      0  32        0         1
#> 172   24.00      0  41        0         0
#> 186   24.00      0  45        1         0
#> 135   24.00      0  58        1         0
#> 102.1 24.00      0  49        0         0
#> 11    24.00      0  42        0         1
#> 28.1  24.00      0  67        1         0
#> 165   24.00      0  47        0         0
#> 196   24.00      0  19        0         0
#> 53.1  24.00      0  32        0         1
#> 176.1 24.00      0  43        0         1
#> 87    24.00      0  27        0         0
#> 178   24.00      0  52        1         0
#> 62    24.00      0  71        0         0
#> 156   24.00      0  50        1         0
#> 75.1  24.00      0  21        1         0
#> 74    24.00      0  43        0         1
#> 64    24.00      0  43        0         0
#> 2.1   24.00      0   9        0         0
#> 135.1 24.00      0  58        1         0
#> 94    24.00      0  51        0         1
#> 172.1 24.00      0  41        0         0
#> 71.1  24.00      0  51        0         0
#> 174   24.00      0  49        1         0
#> 109   24.00      0  48        0         0
#> 72    24.00      0  40        0         1
#> 3     24.00      0  31        1         0
#> 72.1  24.00      0  40        0         1
#> 185   24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 48.1  24.00      0  31        1         0
#> 83    24.00      0   6        0         0
#> 34    24.00      0  36        0         0
#> 165.1 24.00      0  47        0         0
#> 138   24.00      0  44        1         0
#> 118   24.00      0  44        1         0
#> 2.2   24.00      0   9        0         0
#> 146   24.00      0  63        1         0
#> 20.1  24.00      0  46        1         0
#> 174.1 24.00      0  49        1         0
#> 160   24.00      0  31        1         0
#> 11.1  24.00      0  42        0         1
#> 119   24.00      0  17        0         0
#> 132   24.00      0  55        0         0
#> 173.1 24.00      0  19        0         1
#> 115   24.00      0  NA        1         0
#> 116.1 24.00      0  58        0         1
#> 141   24.00      0  44        1         0
#> 1     24.00      0  23        1         0
#> 53.2  24.00      0  32        0         1
#> 11.2  24.00      0  42        0         1
#> 22    24.00      0  52        1         0
#> 182   24.00      0  35        0         0
#> 7     24.00      0  37        1         0
#> 120   24.00      0  68        0         1
#> 33    24.00      0  53        0         0
#> 178.1 24.00      0  52        1         0
#> 3.1   24.00      0  31        1         0
#> 48.2  24.00      0  31        1         0
#> 48.3  24.00      0  31        1         0
#> 131.1 24.00      0  66        0         0
#> 147   24.00      0  76        1         0
#> 109.1 24.00      0  48        0         0
#> 12    24.00      0  63        0         0
#> 27    24.00      0  63        1         0
#> 148   24.00      0  61        1         0
#> 120.1 24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.827         NA        NA      NA
#> 2 age, Cure model           0.0214        NA        NA      NA
#> 3 grade_ii, Cure model     -0.437         NA        NA      NA
#> 4 grade_iii, Cure model     0.447         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00363        NA        NA      NA
#> 2 grade_ii, Survival model   0.542          NA        NA      NA
#> 3 grade_iii, Survival model  0.661          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.82728           0.02139          -0.43677           0.44659  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 252.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.82728486       0.02138797      -0.43676814       0.44659299 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003626279      0.542371313      0.661278189 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.47975237 0.16079302 0.59580272 0.83861231 0.36139575 0.75347694
#>   [7] 0.79324219 0.58746234 0.91472057 0.88111012 0.73955548 0.81942002
#>  [13] 0.44031072 0.72559326 0.25504261 0.88111012 0.80637270 0.72559326
#>  [19] 0.98981902 0.78664086 0.07640771 0.46998040 0.31953734 0.93685390
#>  [25] 0.98463923 0.63662589 0.33466922 0.86920574 0.38600959 0.28815789
#>  [31] 0.77998266 0.93132069 0.96906597 0.64453743 0.49895021 0.50860762
#>  [37] 0.22010637 0.52687079 0.39808878 0.88111012 0.50860762 0.94235523
#>  [43] 0.98981902 0.88111012 0.03197037 0.75347694 0.45057058 0.95325237
#>  [49] 0.75347694 0.39808878 0.22010637 0.67514706 0.39808878 0.83861231
#>  [55] 0.88111012 0.59580272 0.86312103 0.88111012 0.36139575 0.71143541
#>  [61] 0.65998827 0.55337343 0.86920574 0.55337343 0.62862238 0.95325237
#>  [67] 0.18231528 0.91472057 0.85098333 0.52687079 0.33466922 0.74655461
#>  [73] 0.91472057 0.82587824 0.45057058 0.57899701 0.67514706 0.85098333
#>  [79] 0.71855294 0.20132643 0.07640771 0.65232181 0.81290454 0.55337343
#>  [85] 0.77331885 0.65998827 0.61229900 0.68987147 0.95325237 0.27170696
#>  [91] 0.13563037 0.42981435 0.96906597 0.83227077 0.47975237 0.79324219
#>  [97] 0.94781850 0.68987147 0.62047823 0.96906597 0.28815789 0.70423026
#> [103] 0.54462931 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   150   129   184    43   139    13    14   134   145    61   133    37    32 
#> 20.33 23.41 17.77 12.10 21.49 14.34 12.89 17.81 10.07 10.12 14.65 12.52 20.90 
#>   157   194  61.1   140 157.1   127   123    78    68   136   187    91   192 
#> 15.10 22.40 10.12 12.68 15.10  3.53 13.00 23.88 20.62 21.83  9.92  5.33 16.44 
#>   197    52   153   175   155   101    25     5   166   170   169    55    99 
#> 21.60 10.42 21.33 21.91 13.08  9.97  6.32 16.43 19.98 19.54 22.41 19.34 21.19 
#>  61.2 170.1   183 127.1  61.3    24  13.1   190    77  13.2  99.1 169.1    26 
#> 10.12 19.54  9.24  3.53 10.12 23.89 14.34 20.81  7.27 14.34 21.19 22.41 15.77 
#>  99.2  43.1  61.4 184.1    10  61.5 139.1    39   100   179  52.1 179.1    45 
#> 21.19 12.10 10.12 17.77 10.53 10.12 21.49 15.59 16.07 18.63 10.42 18.63 17.42 
#>  77.1    69 145.1   159    58 197.1    96 145.2    42 190.1    51  26.1 159.1 
#>  7.27 23.23 10.07 10.55 19.34 21.60 14.54 10.07 12.43 20.81 18.23 15.77 10.55 
#>   167   113  78.1   188   177 179.2    81 100.1   117   125  77.2    66    86 
#> 15.55 22.86 23.88 16.16 12.53 18.63 14.06 16.07 17.46 15.65  7.27 22.13 23.81 
#>    90  25.1    49 150.1  14.1   149 125.1    30  25.2 175.1     6    97    48 
#> 20.94  6.32 12.19 20.33 12.89  8.37 15.65 17.43  6.32 21.91 15.64 19.14 24.00 
#>   151   116   198     2   131   176    20   163   137    71   193    98    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144   173    75   200    28   102   152    53   172   186   135 102.1    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  28.1   165   196  53.1 176.1    87   178    62   156  75.1    74    64   2.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 135.1    94 172.1  71.1   174   109    72     3  72.1   185    95  48.1    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34 165.1   138   118   2.2   146  20.1 174.1   160  11.1   119   132 173.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 116.1   141     1  53.2  11.2    22   182     7   120    33 178.1   3.1  48.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  48.3 131.1   147 109.1    12    27   148 120.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[68]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.009928727               0.681051113               0.273716681 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.68153287              0.01518743             -0.13257034 
#>   grade_iii, Cure model 
#>              0.68158368 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 181   16.46      1  45        0         1
#> 114   13.68      1  NA        0         0
#> 70     7.38      1  30        1         0
#> 76    19.22      1  54        0         1
#> 93    10.33      1  52        0         1
#> 4     17.64      1  NA        0         1
#> 23    16.92      1  61        0         0
#> 13    14.34      1  54        0         1
#> 14    12.89      1  21        0         0
#> 179   18.63      1  42        0         0
#> 26    15.77      1  49        0         1
#> 199   19.81      1  NA        0         1
#> 181.1 16.46      1  45        0         1
#> 128   20.35      1  35        0         1
#> 145   10.07      1  65        1         0
#> 177   12.53      1  75        0         0
#> 69    23.23      1  25        0         1
#> 88    18.37      1  47        0         0
#> 41    18.02      1  40        1         0
#> 158   20.14      1  74        1         0
#> 101    9.97      1  10        0         1
#> 66    22.13      1  53        0         0
#> 88.1  18.37      1  47        0         0
#> 91     5.33      1  61        0         1
#> 99    21.19      1  38        0         1
#> 16     8.71      1  71        0         1
#> 78    23.88      1  43        0         0
#> 149    8.37      1  33        1         0
#> 107   11.18      1  54        1         0
#> 167   15.55      1  56        1         0
#> 154   12.63      1  20        1         0
#> 15    22.68      1  48        0         0
#> 59    10.16      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 127    3.53      1  62        0         1
#> 66.1  22.13      1  53        0         0
#> 199.1 19.81      1  NA        0         1
#> 39    15.59      1  37        0         1
#> 164   23.60      1  76        0         1
#> 106   16.67      1  49        1         0
#> 99.1  21.19      1  38        0         1
#> 169   22.41      1  46        0         0
#> 149.1  8.37      1  33        1         0
#> 155   13.08      1  26        0         0
#> 77     7.27      1  67        0         1
#> 168.1 23.72      1  70        0         0
#> 6     15.64      1  39        0         0
#> 60    13.15      1  38        1         0
#> 86    23.81      1  58        0         1
#> 139   21.49      1  63        1         0
#> 68    20.62      1  44        0         0
#> 68.1  20.62      1  44        0         0
#> 88.2  18.37      1  47        0         0
#> 55    19.34      1  69        0         1
#> 155.1 13.08      1  26        0         0
#> 190   20.81      1  42        1         0
#> 15.1  22.68      1  48        0         0
#> 179.1 18.63      1  42        0         0
#> 189   10.51      1  NA        1         0
#> 16.1   8.71      1  71        0         1
#> 188   16.16      1  46        0         1
#> 32    20.90      1  37        1         0
#> 8     18.43      1  32        0         0
#> 10    10.53      1  34        0         0
#> 125   15.65      1  67        1         0
#> 111   17.45      1  47        0         1
#> 70.1   7.38      1  30        1         0
#> 58    19.34      1  39        0         0
#> 36    21.19      1  48        0         1
#> 10.1  10.53      1  34        0         0
#> 23.1  16.92      1  61        0         0
#> 194   22.40      1  38        0         1
#> 23.2  16.92      1  61        0         0
#> 170   19.54      1  43        0         1
#> 4.1   17.64      1  NA        0         1
#> 69.1  23.23      1  25        0         1
#> 81    14.06      1  34        0         0
#> 139.1 21.49      1  63        1         0
#> 41.1  18.02      1  40        1         0
#> 184   17.77      1  38        0         0
#> 197   21.60      1  69        1         0
#> 199.2 19.81      1  NA        0         1
#> 123   13.00      1  44        1         0
#> 187    9.92      1  39        1         0
#> 60.1  13.15      1  38        1         0
#> 101.1  9.97      1  10        0         1
#> 154.1 12.63      1  20        1         0
#> 36.1  21.19      1  48        0         1
#> 93.1  10.33      1  52        0         1
#> 5     16.43      1  51        0         1
#> 5.1   16.43      1  51        0         1
#> 195   11.76      1  NA        1         0
#> 105   19.75      1  60        0         0
#> 184.1 17.77      1  38        0         0
#> 145.1 10.07      1  65        1         0
#> 91.1   5.33      1  61        0         1
#> 24    23.89      1  38        0         0
#> 92    22.92      1  47        0         1
#> 85    16.44      1  36        0         0
#> 114.1 13.68      1  NA        0         0
#> 23.3  16.92      1  61        0         0
#> 170.1 19.54      1  43        0         1
#> 105.1 19.75      1  60        0         0
#> 60.2  13.15      1  38        1         0
#> 113   22.86      1  34        0         0
#> 50    10.02      1  NA        1         0
#> 158.1 20.14      1  74        1         0
#> 96    14.54      1  33        0         1
#> 99.2  21.19      1  38        0         1
#> 26.1  15.77      1  49        0         1
#> 63    22.77      1  31        1         0
#> 197.1 21.60      1  69        1         0
#> 178   24.00      0  52        1         0
#> 119   24.00      0  17        0         0
#> 2     24.00      0   9        0         0
#> 75    24.00      0  21        1         0
#> 131   24.00      0  66        0         0
#> 178.1 24.00      0  52        1         0
#> 64    24.00      0  43        0         0
#> 109   24.00      0  48        0         0
#> 83    24.00      0   6        0         0
#> 22    24.00      0  52        1         0
#> 151   24.00      0  42        0         0
#> 191   24.00      0  60        0         1
#> 196   24.00      0  19        0         0
#> 7     24.00      0  37        1         0
#> 87    24.00      0  27        0         0
#> 147   24.00      0  76        1         0
#> 118   24.00      0  44        1         0
#> 144   24.00      0  28        0         1
#> 165   24.00      0  47        0         0
#> 173   24.00      0  19        0         1
#> 185   24.00      0  44        1         0
#> 176   24.00      0  43        0         1
#> 21    24.00      0  47        0         0
#> 146   24.00      0  63        1         0
#> 151.1 24.00      0  42        0         0
#> 200   24.00      0  64        0         0
#> 112   24.00      0  61        0         0
#> 191.1 24.00      0  60        0         1
#> 144.1 24.00      0  28        0         1
#> 34    24.00      0  36        0         0
#> 160   24.00      0  31        1         0
#> 182   24.00      0  35        0         0
#> 193   24.00      0  45        0         1
#> 143   24.00      0  51        0         0
#> 176.1 24.00      0  43        0         1
#> 138   24.00      0  44        1         0
#> 200.1 24.00      0  64        0         0
#> 112.1 24.00      0  61        0         0
#> 17    24.00      0  38        0         1
#> 126   24.00      0  48        0         0
#> 172   24.00      0  41        0         0
#> 47    24.00      0  38        0         1
#> 148   24.00      0  61        1         0
#> 200.2 24.00      0  64        0         0
#> 115   24.00      0  NA        1         0
#> 98    24.00      0  34        1         0
#> 152   24.00      0  36        0         1
#> 9     24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 71    24.00      0  51        0         0
#> 104   24.00      0  50        1         0
#> 109.1 24.00      0  48        0         0
#> 19    24.00      0  57        0         1
#> 135   24.00      0  58        1         0
#> 131.1 24.00      0  66        0         0
#> 64.1  24.00      0  43        0         0
#> 173.1 24.00      0  19        0         1
#> 109.2 24.00      0  48        0         0
#> 126.1 24.00      0  48        0         0
#> 95    24.00      0  68        0         1
#> 53    24.00      0  32        0         1
#> 141   24.00      0  44        1         0
#> 48    24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 54    24.00      0  53        1         0
#> 156   24.00      0  50        1         0
#> 173.2 24.00      0  19        0         1
#> 151.2 24.00      0  42        0         0
#> 31    24.00      0  36        0         1
#> 146.1 24.00      0  63        1         0
#> 67    24.00      0  25        0         0
#> 1     24.00      0  23        1         0
#> 185.1 24.00      0  44        1         0
#> 54.1  24.00      0  53        1         0
#> 160.1 24.00      0  31        1         0
#> 67.1  24.00      0  25        0         0
#> 34.1  24.00      0  36        0         0
#> 138.1 24.00      0  44        1         0
#> 163   24.00      0  66        0         0
#> 103   24.00      0  56        1         0
#> 48.1  24.00      0  31        1         0
#> 82    24.00      0  34        0         0
#> 53.1  24.00      0  32        0         1
#> 122   24.00      0  66        0         0
#> 151.3 24.00      0  42        0         0
#> 147.1 24.00      0  76        1         0
#> 118.1 24.00      0  44        1         0
#> 72    24.00      0  40        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.682         NA        NA      NA
#> 2 age, Cure model           0.0152        NA        NA      NA
#> 3 grade_ii, Cure model     -0.133         NA        NA      NA
#> 4 grade_iii, Cure model     0.682         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00993        NA        NA      NA
#> 2 grade_ii, Survival model   0.681          NA        NA      NA
#> 3 grade_iii, Survival model  0.274          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.68153           0.01519          -0.13257           0.68158  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258 
#> Residual Deviance: 250.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.68153287       0.01518743      -0.13257034       0.68158368 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.009928727      0.681051113      0.273716681 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.4976615539 0.9336027781 0.3216634744 0.8105783494 0.4442666198
#>   [6] 0.6428418579 0.7326010821 0.3316045726 0.5638063265 0.4976615539
#>  [11] 0.2367916718 0.8330362680 0.7659259899 0.0337216921 0.3618113777
#>  [16] 0.3925585423 0.2460656016 0.8554722513 0.1047690213 0.3618113777
#>  [21] 0.9666345972 0.1583062772 0.8889819200 0.0039295224 0.9114080820
#>  [26] 0.7771023421 0.6201514678 0.7439038718 0.0715368224 0.0134252553
#>  [31] 0.9888119205 0.1047690213 0.6087839462 0.0257238852 0.4867320065
#>  [36] 0.1583062772 0.0874141756 0.9114080820 0.6988706918 0.9555538309
#>  [41] 0.0134252553 0.5974353735 0.6656930329 0.0082960388 0.1405394547
#>  [46] 0.2186566207 0.2186566207 0.3618113777 0.3022250373 0.6988706918
#>  [51] 0.2096629795 0.0715368224 0.3316045726 0.8889819200 0.5526047261
#>  [56] 0.2005513076 0.3515914758 0.7882536906 0.5861555967 0.4337230129
#>  [61] 0.9336027781 0.3022250373 0.1583062772 0.7882536906 0.4442666198
#>  [66] 0.0960527927 0.4442666198 0.2831898644 0.0337216921 0.6542388600
#>  [71] 0.1405394547 0.3925585423 0.4129795207 0.1226466720 0.7213310193
#>  [76] 0.8777966994 0.6656930329 0.8554722513 0.7439038718 0.1583062772
#>  [81] 0.8105783494 0.5305027582 0.5305027582 0.2643351358 0.4129795207
#>  [86] 0.8330362680 0.9666345972 0.0009141033 0.0477624890 0.5194310378
#>  [91] 0.4442666198 0.2831898644 0.2643351358 0.6656930329 0.0556146703
#>  [96] 0.2460656016 0.6314913096 0.1583062772 0.5638063265 0.0637993655
#> [101] 0.1226466720 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000
#> 
#> $Time
#>   181    70    76    93    23    13    14   179    26 181.1   128   145   177 
#> 16.46  7.38 19.22 10.33 16.92 14.34 12.89 18.63 15.77 16.46 20.35 10.07 12.53 
#>    69    88    41   158   101    66  88.1    91    99    16    78   149   107 
#> 23.23 18.37 18.02 20.14  9.97 22.13 18.37  5.33 21.19  8.71 23.88  8.37 11.18 
#>   167   154    15   168   127  66.1    39   164   106  99.1   169 149.1   155 
#> 15.55 12.63 22.68 23.72  3.53 22.13 15.59 23.60 16.67 21.19 22.41  8.37 13.08 
#>    77 168.1     6    60    86   139    68  68.1  88.2    55 155.1   190  15.1 
#>  7.27 23.72 15.64 13.15 23.81 21.49 20.62 20.62 18.37 19.34 13.08 20.81 22.68 
#> 179.1  16.1   188    32     8    10   125   111  70.1    58    36  10.1  23.1 
#> 18.63  8.71 16.16 20.90 18.43 10.53 15.65 17.45  7.38 19.34 21.19 10.53 16.92 
#>   194  23.2   170  69.1    81 139.1  41.1   184   197   123   187  60.1 101.1 
#> 22.40 16.92 19.54 23.23 14.06 21.49 18.02 17.77 21.60 13.00  9.92 13.15  9.97 
#> 154.1  36.1  93.1     5   5.1   105 184.1 145.1  91.1    24    92    85  23.3 
#> 12.63 21.19 10.33 16.43 16.43 19.75 17.77 10.07  5.33 23.89 22.92 16.44 16.92 
#> 170.1 105.1  60.2   113 158.1    96  99.2  26.1    63 197.1   178   119     2 
#> 19.54 19.75 13.15 22.86 20.14 14.54 21.19 15.77 22.77 21.60 24.00 24.00 24.00 
#>    75   131 178.1    64   109    83    22   151   191   196     7    87   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118   144   165   173   185   176    21   146 151.1   200   112 191.1 144.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34   160   182   193   143 176.1   138 200.1 112.1    17   126   172    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148 200.2    98   152     9    71   104 109.1    19   135 131.1  64.1 173.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 109.2 126.1    95    53   141    48   174    54   156 173.2 151.2    31 146.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67     1 185.1  54.1 160.1  67.1  34.1 138.1   163   103  48.1    82  53.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122 151.3 147.1 118.1    72 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[69]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.008153971               0.665857591               0.569260149 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>           -0.1830776246            0.0006661639            0.4291228181 
#>   grade_iii, Cure model 
#>            0.9110720489 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 88    18.37      1  47        0         0
#> 85    16.44      1  36        0         0
#> 51    18.23      1  83        0         1
#> 69    23.23      1  25        0         1
#> 15    22.68      1  48        0         0
#> 114   13.68      1  NA        0         0
#> 139   21.49      1  63        1         0
#> 6     15.64      1  39        0         0
#> 139.1 21.49      1  63        1         0
#> 167   15.55      1  56        1         0
#> 180   14.82      1  37        0         0
#> 177   12.53      1  75        0         0
#> 37    12.52      1  57        1         0
#> 101    9.97      1  10        0         1
#> 199   19.81      1  NA        0         1
#> 60    13.15      1  38        1         0
#> 136   21.83      1  43        0         1
#> 13    14.34      1  54        0         1
#> 4     17.64      1  NA        0         1
#> 49    12.19      1  48        1         0
#> 129   23.41      1  53        1         0
#> 90    20.94      1  50        0         1
#> 168   23.72      1  70        0         0
#> 30    17.43      1  78        0         0
#> 134   17.81      1  47        1         0
#> 190   20.81      1  42        1         0
#> 169   22.41      1  46        0         0
#> 97    19.14      1  65        0         1
#> 187    9.92      1  39        1         0
#> 69.1  23.23      1  25        0         1
#> 157   15.10      1  47        0         0
#> 77     7.27      1  67        0         1
#> 10    10.53      1  34        0         0
#> 43    12.10      1  61        0         1
#> 127    3.53      1  62        0         1
#> 150   20.33      1  48        0         0
#> 10.1  10.53      1  34        0         0
#> 68    20.62      1  44        0         0
#> 101.1  9.97      1  10        0         1
#> 69.2  23.23      1  25        0         1
#> 96    14.54      1  33        0         1
#> 10.2  10.53      1  34        0         0
#> 42    12.43      1  49        0         1
#> 15.1  22.68      1  48        0         0
#> 133   14.65      1  57        0         0
#> 166   19.98      1  48        0         0
#> 123   13.00      1  44        1         0
#> 66    22.13      1  53        0         0
#> 59    10.16      1  NA        1         0
#> 113   22.86      1  34        0         0
#> 170   19.54      1  43        0         1
#> 199.1 19.81      1  NA        0         1
#> 114.1 13.68      1  NA        0         0
#> 175   21.91      1  43        0         0
#> 61    10.12      1  36        0         1
#> 57    14.46      1  45        0         1
#> 40    18.00      1  28        1         0
#> 130   16.47      1  53        0         1
#> 4.1   17.64      1  NA        0         1
#> 125   15.65      1  67        1         0
#> 192   16.44      1  31        1         0
#> 117   17.46      1  26        0         1
#> 25     6.32      1  34        1         0
#> 5     16.43      1  51        0         1
#> 45    17.42      1  54        0         1
#> 177.1 12.53      1  75        0         0
#> 59.1  10.16      1  NA        1         0
#> 154   12.63      1  20        1         0
#> 16     8.71      1  71        0         1
#> 170.1 19.54      1  43        0         1
#> 13.1  14.34      1  54        0         1
#> 195   11.76      1  NA        1         0
#> 24    23.89      1  38        0         0
#> 63    22.77      1  31        1         0
#> 15.2  22.68      1  48        0         0
#> 199.2 19.81      1  NA        0         1
#> 123.1 13.00      1  44        1         0
#> 8     18.43      1  32        0         0
#> 36    21.19      1  48        0         1
#> 41    18.02      1  40        1         0
#> 30.1  17.43      1  78        0         0
#> 184   17.77      1  38        0         0
#> 32    20.90      1  37        1         0
#> 111   17.45      1  47        0         1
#> 107   11.18      1  54        1         0
#> 168.1 23.72      1  70        0         0
#> 4.2   17.64      1  NA        0         1
#> 88.1  18.37      1  47        0         0
#> 167.1 15.55      1  56        1         0
#> 79    16.23      1  54        1         0
#> 140   12.68      1  59        1         0
#> 57.1  14.46      1  45        0         1
#> 184.1 17.77      1  38        0         0
#> 66.1  22.13      1  53        0         0
#> 81    14.06      1  34        0         0
#> 59.2  10.16      1  NA        1         0
#> 123.2 13.00      1  44        1         0
#> 26    15.77      1  49        0         1
#> 140.1 12.68      1  59        1         0
#> 79.1  16.23      1  54        1         0
#> 114.2 13.68      1  NA        0         0
#> 184.2 17.77      1  38        0         0
#> 189   10.51      1  NA        1         0
#> 169.1 22.41      1  46        0         0
#> 113.1 22.86      1  34        0         0
#> 68.1  20.62      1  44        0         0
#> 150.1 20.33      1  48        0         0
#> 136.1 21.83      1  43        0         1
#> 93    10.33      1  52        0         1
#> 18    15.21      1  49        1         0
#> 99    21.19      1  38        0         1
#> 32.1  20.90      1  37        1         0
#> 75    24.00      0  21        1         0
#> 73    24.00      0  NA        0         1
#> 33    24.00      0  53        0         0
#> 141   24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 9     24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 83    24.00      0   6        0         0
#> 186   24.00      0  45        1         0
#> 35    24.00      0  51        0         0
#> 122   24.00      0  66        0         0
#> 46    24.00      0  71        0         0
#> 132   24.00      0  55        0         0
#> 161   24.00      0  45        0         0
#> 115   24.00      0  NA        1         0
#> 200   24.00      0  64        0         0
#> 148.1 24.00      0  61        1         0
#> 132.1 24.00      0  55        0         0
#> 119   24.00      0  17        0         0
#> 64    24.00      0  43        0         0
#> 115.1 24.00      0  NA        1         0
#> 200.1 24.00      0  64        0         0
#> 64.1  24.00      0  43        0         0
#> 120   24.00      0  68        0         1
#> 34    24.00      0  36        0         0
#> 122.1 24.00      0  66        0         0
#> 62    24.00      0  71        0         0
#> 38    24.00      0  31        1         0
#> 3     24.00      0  31        1         0
#> 143   24.00      0  51        0         0
#> 83.1  24.00      0   6        0         0
#> 31    24.00      0  36        0         1
#> 141.1 24.00      0  44        1         0
#> 174   24.00      0  49        1         0
#> 17    24.00      0  38        0         1
#> 82    24.00      0  34        0         0
#> 122.2 24.00      0  66        0         0
#> 121   24.00      0  57        1         0
#> 48    24.00      0  31        1         0
#> 94    24.00      0  51        0         1
#> 34.1  24.00      0  36        0         0
#> 20    24.00      0  46        1         0
#> 144   24.00      0  28        0         1
#> 126   24.00      0  48        0         0
#> 38.1  24.00      0  31        1         0
#> 12    24.00      0  63        0         0
#> 20.1  24.00      0  46        1         0
#> 65    24.00      0  57        1         0
#> 64.2  24.00      0  43        0         0
#> 73.1  24.00      0  NA        0         1
#> 151.1 24.00      0  42        0         0
#> 162   24.00      0  51        0         0
#> 73.2  24.00      0  NA        0         1
#> 72    24.00      0  40        0         1
#> 53    24.00      0  32        0         1
#> 122.3 24.00      0  66        0         0
#> 72.1  24.00      0  40        0         1
#> 115.2 24.00      0  NA        1         0
#> 193   24.00      0  45        0         1
#> 73.3  24.00      0  NA        0         1
#> 142   24.00      0  53        0         0
#> 12.1  24.00      0  63        0         0
#> 200.2 24.00      0  64        0         0
#> 73.4  24.00      0  NA        0         1
#> 74    24.00      0  43        0         1
#> 142.1 24.00      0  53        0         0
#> 116   24.00      0  58        0         1
#> 160   24.00      0  31        1         0
#> 22    24.00      0  52        1         0
#> 84    24.00      0  39        0         1
#> 27    24.00      0  63        1         0
#> 165   24.00      0  47        0         0
#> 200.3 24.00      0  64        0         0
#> 122.4 24.00      0  66        0         0
#> 102   24.00      0  49        0         0
#> 109   24.00      0  48        0         0
#> 152   24.00      0  36        0         1
#> 118   24.00      0  44        1         0
#> 135   24.00      0  58        1         0
#> 102.1 24.00      0  49        0         0
#> 84.1  24.00      0  39        0         1
#> 176   24.00      0  43        0         1
#> 38.2  24.00      0  31        1         0
#> 35.1  24.00      0  51        0         0
#> 200.4 24.00      0  64        0         0
#> 163   24.00      0  66        0         0
#> 162.1 24.00      0  51        0         0
#> 182   24.00      0  35        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.183           NA        NA      NA
#> 2 age, Cure model          0.000666        NA        NA      NA
#> 3 grade_ii, Cure model     0.429           NA        NA      NA
#> 4 grade_iii, Cure model    0.911           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00815        NA        NA      NA
#> 2 grade_ii, Survival model   0.666          NA        NA      NA
#> 3 grade_iii, Survival model  0.569          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>       -0.1830776         0.0006662         0.4291228         0.9110720  
#> 
#> Degrees of Freedom: 177 Total (i.e. Null);  174 Residual
#> Null Deviance:	    244.9 
#> Residual Deviance: 239.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>    -0.1830776246     0.0006661639     0.4291228181     0.9110720489 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.008153971      0.665857591      0.569260149 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.63644850 0.74937472 0.65294610 0.22845119 0.33301703 0.47397974
#>   [7] 0.79519741 0.47397974 0.80145006 0.82544141 0.90840076 0.91862797
#>  [13] 0.96753348 0.87133420 0.44864718 0.85457549 0.92872006 0.20129106
#>  [19] 0.51774617 0.13386041 0.72117266 0.67663271 0.54733121 0.37739290
#>  [25] 0.61960409 0.97697075 0.22845119 0.81948977 0.98630705 0.94348739
#>  [31] 0.93369304 0.99547347 0.57516613 0.94348739 0.55675151 0.96753348
#>  [37] 0.22845119 0.83728956 0.94348739 0.92369655 0.33301703 0.83137797
#>  [43] 0.59330267 0.87686614 0.40652988 0.28136506 0.60237439 0.43458129
#>  [49] 0.96276048 0.84314686 0.66887954 0.74245126 0.78892629 0.74937472
#>  [55] 0.70648212 0.99090688 0.76292747 0.73541481 0.90840076 0.90322338
#>  [61] 0.98166279 0.60237439 0.85457549 0.06427953 0.31640710 0.33301703
#>  [67] 0.87686614 0.62804313 0.49659054 0.66099427 0.72117266 0.68422452
#>  [73] 0.52808095 0.71388755 0.93861605 0.13386041 0.63644850 0.80145006
#>  [79] 0.76963381 0.89282156 0.84314686 0.68422452 0.40652988 0.86574359
#>  [85] 0.87686614 0.78253525 0.89282156 0.76963381 0.68422452 0.37739290
#>  [91] 0.28136506 0.55675151 0.57516613 0.44864718 0.95795484 0.81351788
#>  [97] 0.49659054 0.52808095 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    88    85    51    69    15   139     6 139.1   167   180   177    37   101 
#> 18.37 16.44 18.23 23.23 22.68 21.49 15.64 21.49 15.55 14.82 12.53 12.52  9.97 
#>    60   136    13    49   129    90   168    30   134   190   169    97   187 
#> 13.15 21.83 14.34 12.19 23.41 20.94 23.72 17.43 17.81 20.81 22.41 19.14  9.92 
#>  69.1   157    77    10    43   127   150  10.1    68 101.1  69.2    96  10.2 
#> 23.23 15.10  7.27 10.53 12.10  3.53 20.33 10.53 20.62  9.97 23.23 14.54 10.53 
#>    42  15.1   133   166   123    66   113   170   175    61    57    40   130 
#> 12.43 22.68 14.65 19.98 13.00 22.13 22.86 19.54 21.91 10.12 14.46 18.00 16.47 
#>   125   192   117    25     5    45 177.1   154    16 170.1  13.1    24    63 
#> 15.65 16.44 17.46  6.32 16.43 17.42 12.53 12.63  8.71 19.54 14.34 23.89 22.77 
#>  15.2 123.1     8    36    41  30.1   184    32   111   107 168.1  88.1 167.1 
#> 22.68 13.00 18.43 21.19 18.02 17.43 17.77 20.90 17.45 11.18 23.72 18.37 15.55 
#>    79   140  57.1 184.1  66.1    81 123.2    26 140.1  79.1 184.2 169.1 113.1 
#> 16.23 12.68 14.46 17.77 22.13 14.06 13.00 15.77 12.68 16.23 17.77 22.41 22.86 
#>  68.1 150.1 136.1    93    18    99  32.1    75    33   141   148     9   151 
#> 20.62 20.33 21.83 10.33 15.21 21.19 20.90 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83   186    35   122    46   132   161   200 148.1 132.1   119    64 200.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  64.1   120    34 122.1    62    38     3   143  83.1    31 141.1   174    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    82 122.2   121    48    94  34.1    20   144   126  38.1    12  20.1    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  64.2 151.1   162    72    53 122.3  72.1   193   142  12.1 200.2    74 142.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116   160    22    84    27   165 200.3 122.4   102   109   152   118   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 102.1  84.1   176  38.2  35.1 200.4   163 162.1   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[70]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.007560695               0.315430145               0.038952233 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.74422858              0.01532052              0.03829101 
#>   grade_iii, Cure model 
#>              0.59295349 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 57    14.46      1  45        0         1
#> 130   16.47      1  53        0         1
#> 69    23.23      1  25        0         1
#> 150   20.33      1  48        0         0
#> 150.1 20.33      1  48        0         0
#> 97    19.14      1  65        0         1
#> 130.1 16.47      1  53        0         1
#> 85    16.44      1  36        0         0
#> 86    23.81      1  58        0         1
#> 105   19.75      1  60        0         0
#> 91     5.33      1  61        0         1
#> 6     15.64      1  39        0         0
#> 5     16.43      1  51        0         1
#> 105.1 19.75      1  60        0         0
#> 170   19.54      1  43        0         1
#> 155   13.08      1  26        0         0
#> 57.1  14.46      1  45        0         1
#> 52    10.42      1  52        0         1
#> 86.1  23.81      1  58        0         1
#> 192   16.44      1  31        1         0
#> 30    17.43      1  78        0         0
#> 91.1   5.33      1  61        0         1
#> 26    15.77      1  49        0         1
#> 154   12.63      1  20        1         0
#> 139   21.49      1  63        1         0
#> 68    20.62      1  44        0         0
#> 26.1  15.77      1  49        0         1
#> 125   15.65      1  67        1         0
#> 13    14.34      1  54        0         1
#> 158   20.14      1  74        1         0
#> 96    14.54      1  33        0         1
#> 15    22.68      1  48        0         0
#> 5.1   16.43      1  51        0         1
#> 155.1 13.08      1  26        0         0
#> 155.2 13.08      1  26        0         0
#> 58    19.34      1  39        0         0
#> 124    9.73      1  NA        1         0
#> 195   11.76      1  NA        1         0
#> 90    20.94      1  50        0         1
#> 23    16.92      1  61        0         0
#> 23.1  16.92      1  61        0         0
#> 133   14.65      1  57        0         0
#> 36    21.19      1  48        0         1
#> 59    10.16      1  NA        1         0
#> 89    11.44      1  NA        0         0
#> 100   16.07      1  60        0         0
#> 40    18.00      1  28        1         0
#> 97.1  19.14      1  65        0         1
#> 57.2  14.46      1  45        0         1
#> 90.1  20.94      1  50        0         1
#> 41    18.02      1  40        1         0
#> 158.1 20.14      1  74        1         0
#> 149    8.37      1  33        1         0
#> 154.1 12.63      1  20        1         0
#> 56    12.21      1  60        0         0
#> 189   10.51      1  NA        1         0
#> 107   11.18      1  54        1         0
#> 168   23.72      1  70        0         0
#> 159   10.55      1  50        0         1
#> 179   18.63      1  42        0         0
#> 170.1 19.54      1  43        0         1
#> 150.2 20.33      1  48        0         0
#> 188   16.16      1  46        0         1
#> 127    3.53      1  62        0         1
#> 77     7.27      1  67        0         1
#> 128   20.35      1  35        0         1
#> 18    15.21      1  49        1         0
#> 36.1  21.19      1  48        0         1
#> 66    22.13      1  53        0         0
#> 125.1 15.65      1  67        1         0
#> 180   14.82      1  37        0         0
#> 110   17.56      1  65        0         1
#> 187    9.92      1  39        1         0
#> 93    10.33      1  52        0         1
#> 101    9.97      1  10        0         1
#> 86.2  23.81      1  58        0         1
#> 117   17.46      1  26        0         1
#> 43    12.10      1  61        0         1
#> 158.2 20.14      1  74        1         0
#> 25     6.32      1  34        1         0
#> 117.1 17.46      1  26        0         1
#> 61    10.12      1  36        0         1
#> 197   21.60      1  69        1         0
#> 123   13.00      1  44        1         0
#> 63    22.77      1  31        1         0
#> 49    12.19      1  48        1         0
#> 90.2  20.94      1  50        0         1
#> 114   13.68      1  NA        0         0
#> 8     18.43      1  32        0         0
#> 60    13.15      1  38        1         0
#> 18.1  15.21      1  49        1         0
#> 86.3  23.81      1  58        0         1
#> 81    14.06      1  34        0         0
#> 13.1  14.34      1  54        0         1
#> 61.1  10.12      1  36        0         1
#> 25.1   6.32      1  34        1         0
#> 6.1   15.64      1  39        0         0
#> 195.1 11.76      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 30.1  17.43      1  78        0         0
#> 5.2   16.43      1  51        0         1
#> 37    12.52      1  57        1         0
#> 32    20.90      1  37        1         0
#> 117.2 17.46      1  26        0         1
#> 49.1  12.19      1  48        1         0
#> 183    9.24      1  67        1         0
#> 90.3  20.94      1  50        0         1
#> 88    18.37      1  47        0         0
#> 63.1  22.77      1  31        1         0
#> 167   15.55      1  56        1         0
#> 190   20.81      1  42        1         0
#> 24    23.89      1  38        0         0
#> 82    24.00      0  34        0         0
#> 94    24.00      0  51        0         1
#> 193   24.00      0  45        0         1
#> 109   24.00      0  48        0         0
#> 165   24.00      0  47        0         0
#> 80    24.00      0  41        0         0
#> 151   24.00      0  42        0         0
#> 152   24.00      0  36        0         1
#> 112   24.00      0  61        0         0
#> 20    24.00      0  46        1         0
#> 152.1 24.00      0  36        0         1
#> 104   24.00      0  50        1         0
#> 147   24.00      0  76        1         0
#> 7     24.00      0  37        1         0
#> 73    24.00      0  NA        0         1
#> 176   24.00      0  43        0         1
#> 146   24.00      0  63        1         0
#> 7.1   24.00      0  37        1         0
#> 200   24.00      0  64        0         0
#> 121   24.00      0  57        1         0
#> 98    24.00      0  34        1         0
#> 116   24.00      0  58        0         1
#> 7.2   24.00      0  37        1         0
#> 151.1 24.00      0  42        0         0
#> 198   24.00      0  66        0         1
#> 7.3   24.00      0  37        1         0
#> 11    24.00      0  42        0         1
#> 94.1  24.00      0  51        0         1
#> 73.1  24.00      0  NA        0         1
#> 148   24.00      0  61        1         0
#> 74    24.00      0  43        0         1
#> 121.1 24.00      0  57        1         0
#> 44    24.00      0  56        0         0
#> 98.1  24.00      0  34        1         0
#> 2     24.00      0   9        0         0
#> 2.1   24.00      0   9        0         0
#> 64    24.00      0  43        0         0
#> 28    24.00      0  67        1         0
#> 27    24.00      0  63        1         0
#> 142   24.00      0  53        0         0
#> 151.2 24.00      0  42        0         0
#> 98.2  24.00      0  34        1         0
#> 11.1  24.00      0  42        0         1
#> 22    24.00      0  52        1         0
#> 160   24.00      0  31        1         0
#> 173   24.00      0  19        0         1
#> 147.1 24.00      0  76        1         0
#> 94.2  24.00      0  51        0         1
#> 112.1 24.00      0  61        0         0
#> 7.4   24.00      0  37        1         0
#> 144   24.00      0  28        0         1
#> 94.3  24.00      0  51        0         1
#> 173.1 24.00      0  19        0         1
#> 144.1 24.00      0  28        0         1
#> 151.3 24.00      0  42        0         0
#> 165.1 24.00      0  47        0         0
#> 163   24.00      0  66        0         0
#> 48    24.00      0  31        1         0
#> 147.2 24.00      0  76        1         0
#> 152.2 24.00      0  36        0         1
#> 44.1  24.00      0  56        0         0
#> 161   24.00      0  45        0         0
#> 20.1  24.00      0  46        1         0
#> 109.1 24.00      0  48        0         0
#> 185   24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 27.1  24.00      0  63        1         0
#> 34    24.00      0  36        0         0
#> 94.4  24.00      0  51        0         1
#> 83    24.00      0   6        0         0
#> 119   24.00      0  17        0         0
#> 84    24.00      0  39        0         1
#> 67    24.00      0  25        0         0
#> 173.2 24.00      0  19        0         1
#> 152.3 24.00      0  36        0         1
#> 200.1 24.00      0  64        0         0
#> 141   24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 104.1 24.00      0  50        1         0
#> 44.2  24.00      0  56        0         0
#> 109.2 24.00      0  48        0         0
#> 161.1 24.00      0  45        0         0
#> 31    24.00      0  36        0         1
#> 38    24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 162   24.00      0  51        0         0
#> 27.2  24.00      0  63        1         0
#> 47    24.00      0  38        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.744         NA        NA      NA
#> 2 age, Cure model           0.0153        NA        NA      NA
#> 3 grade_ii, Cure model      0.0383        NA        NA      NA
#> 4 grade_iii, Cure model     0.593         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00756        NA        NA      NA
#> 2 grade_ii, Survival model   0.315          NA        NA      NA
#> 3 grade_iii, Survival model  0.0390         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.74423           0.01532           0.03829           0.59295  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 257.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.74422858       0.01532052       0.03829101       0.59295349 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.007560695      0.315430145      0.038952233 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.595443204 0.374753947 0.028031111 0.143860491 0.143860491 0.234088435
#>   [7] 0.374753947 0.394761876 0.006816946 0.191115764 0.964076015 0.508535413
#>  [13] 0.414848327 0.191115764 0.207991932 0.673645942 0.595443204 0.833968688
#>  [19] 0.006816946 0.394761876 0.335772048 0.964076015 0.466214434 0.718929066
#>  [25] 0.065235301 0.128340019 0.466214434 0.487294931 0.628458940 0.167124322
#>  [31] 0.584390660 0.045684929 0.414848327 0.673645942 0.673645942 0.225216484
#>  [37] 0.085684819 0.355065276 0.355065276 0.573377667 0.072037714 0.455688195
#>  [43] 0.289185128 0.234088435 0.595443204 0.085684819 0.279821500 0.167124322
#>  [49] 0.916616393 0.718929066 0.764501578 0.810643276 0.021860211 0.822282197
#>  [55] 0.251980753 0.207991932 0.143860491 0.445249898 0.987942572 0.928485355
#>  [61] 0.136055499 0.540873522 0.072037714 0.051979642 0.487294931 0.562438243
#>  [67] 0.298515763 0.892884586 0.845704233 0.881028954 0.006816946 0.307953782
#>  [73] 0.799019157 0.167124322 0.940411259 0.307953782 0.857488554 0.058537220
#>  [79] 0.707467464 0.034402577 0.776054258 0.085684819 0.261182165 0.662281679
#>  [85] 0.540873522 0.006816946 0.650911855 0.628458940 0.857488554 0.940411259
#>  [91] 0.508535413 0.741541956 0.335772048 0.414848327 0.753012218 0.113168547
#>  [97] 0.307953782 0.776054258 0.904736951 0.085684819 0.270453799 0.034402577
#> [103] 0.530004992 0.120753700 0.001797827 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    57   130    69   150 150.1    97 130.1    85    86   105    91     6     5 
#> 14.46 16.47 23.23 20.33 20.33 19.14 16.47 16.44 23.81 19.75  5.33 15.64 16.43 
#> 105.1   170   155  57.1    52  86.1   192    30  91.1    26   154   139    68 
#> 19.75 19.54 13.08 14.46 10.42 23.81 16.44 17.43  5.33 15.77 12.63 21.49 20.62 
#>  26.1   125    13   158    96    15   5.1 155.1 155.2    58    90    23  23.1 
#> 15.77 15.65 14.34 20.14 14.54 22.68 16.43 13.08 13.08 19.34 20.94 16.92 16.92 
#>   133    36   100    40  97.1  57.2  90.1    41 158.1   149 154.1    56   107 
#> 14.65 21.19 16.07 18.00 19.14 14.46 20.94 18.02 20.14  8.37 12.63 12.21 11.18 
#>   168   159   179 170.1 150.2   188   127    77   128    18  36.1    66 125.1 
#> 23.72 10.55 18.63 19.54 20.33 16.16  3.53  7.27 20.35 15.21 21.19 22.13 15.65 
#>   180   110   187    93   101  86.2   117    43 158.2    25 117.1    61   197 
#> 14.82 17.56  9.92 10.33  9.97 23.81 17.46 12.10 20.14  6.32 17.46 10.12 21.60 
#>   123    63    49  90.2     8    60  18.1  86.3    81  13.1  61.1  25.1   6.1 
#> 13.00 22.77 12.19 20.94 18.43 13.15 15.21 23.81 14.06 14.34 10.12  6.32 15.64 
#>   177  30.1   5.2    37    32 117.2  49.1   183  90.3    88  63.1   167   190 
#> 12.53 17.43 16.43 12.52 20.90 17.46 12.19  9.24 20.94 18.37 22.77 15.55 20.81 
#>    24    82    94   193   109   165    80   151   152   112    20 152.1   104 
#> 23.89 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147     7   176   146   7.1   200   121    98   116   7.2 151.1   198   7.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    11  94.1   148    74 121.1    44  98.1     2   2.1    64    28    27   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 151.2  98.2  11.1    22   160   173 147.1  94.2 112.1   7.4   144  94.3 173.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 144.1 151.3 165.1   163    48 147.2 152.2  44.1   161  20.1 109.1   185    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  27.1    34  94.4    83   119    84    67 173.2 152.3 200.1   141   132 104.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  44.2 109.2 161.1    31    38   191   162  27.2    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[71]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003943823               1.155406643               0.680441569 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.700997028             0.007742821             0.429910116 
#>   grade_iii, Cure model 
#>             1.188108789 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 154   12.63      1  20        1         0
#> 150   20.33      1  48        0         0
#> 180   14.82      1  37        0         0
#> 55    19.34      1  69        0         1
#> 187    9.92      1  39        1         0
#> 114   13.68      1  NA        0         0
#> 101    9.97      1  10        0         1
#> 149    8.37      1  33        1         0
#> 57    14.46      1  45        0         1
#> 127    3.53      1  62        0         1
#> 15    22.68      1  48        0         0
#> 91     5.33      1  61        0         1
#> 66    22.13      1  53        0         0
#> 76    19.22      1  54        0         1
#> 145   10.07      1  65        1         0
#> 128   20.35      1  35        0         1
#> 42    12.43      1  49        0         1
#> 199   19.81      1  NA        0         1
#> 136   21.83      1  43        0         1
#> 199.1 19.81      1  NA        0         1
#> 58    19.34      1  39        0         0
#> 113   22.86      1  34        0         0
#> 140   12.68      1  59        1         0
#> 199.2 19.81      1  NA        0         1
#> 183    9.24      1  67        1         0
#> 92    22.92      1  47        0         1
#> 153   21.33      1  55        1         0
#> 24    23.89      1  38        0         0
#> 183.1  9.24      1  67        1         0
#> 41    18.02      1  40        1         0
#> 128.1 20.35      1  35        0         1
#> 123   13.00      1  44        1         0
#> 195   11.76      1  NA        1         0
#> 88    18.37      1  47        0         0
#> 123.1 13.00      1  44        1         0
#> 55.1  19.34      1  69        0         1
#> 4     17.64      1  NA        0         1
#> 18    15.21      1  49        1         0
#> 39    15.59      1  37        0         1
#> 30    17.43      1  78        0         0
#> 78    23.88      1  43        0         0
#> 26    15.77      1  49        0         1
#> 63    22.77      1  31        1         0
#> 187.1  9.92      1  39        1         0
#> 99    21.19      1  38        0         1
#> 32    20.90      1  37        1         0
#> 52    10.42      1  52        0         1
#> 167   15.55      1  56        1         0
#> 117   17.46      1  26        0         1
#> 15.1  22.68      1  48        0         0
#> 70     7.38      1  30        1         0
#> 15.2  22.68      1  48        0         0
#> 108   18.29      1  39        0         1
#> 166   19.98      1  48        0         0
#> 42.1  12.43      1  49        0         1
#> 79    16.23      1  54        1         0
#> 110   17.56      1  65        0         1
#> 70.1   7.38      1  30        1         0
#> 183.2  9.24      1  67        1         0
#> 123.2 13.00      1  44        1         0
#> 114.1 13.68      1  NA        0         0
#> 194   22.40      1  38        0         1
#> 114.2 13.68      1  NA        0         0
#> 85    16.44      1  36        0         0
#> 184   17.77      1  38        0         0
#> 183.3  9.24      1  67        1         0
#> 111   17.45      1  47        0         1
#> 81    14.06      1  34        0         0
#> 149.1  8.37      1  33        1         0
#> 29    15.45      1  68        1         0
#> 184.1 17.77      1  38        0         0
#> 14    12.89      1  21        0         0
#> 91.1   5.33      1  61        0         1
#> 134   17.81      1  47        1         0
#> 96    14.54      1  33        0         1
#> 24.1  23.89      1  38        0         0
#> 167.1 15.55      1  56        1         0
#> 159   10.55      1  50        0         1
#> 91.2   5.33      1  61        0         1
#> 26.1  15.77      1  49        0         1
#> 58.1  19.34      1  39        0         0
#> 150.1 20.33      1  48        0         0
#> 6     15.64      1  39        0         0
#> 159.1 10.55      1  50        0         1
#> 129   23.41      1  53        1         0
#> 55.2  19.34      1  69        0         1
#> 134.1 17.81      1  47        1         0
#> 78.1  23.88      1  43        0         0
#> 170   19.54      1  43        0         1
#> 181   16.46      1  45        0         1
#> 91.3   5.33      1  61        0         1
#> 108.1 18.29      1  39        0         1
#> 90    20.94      1  50        0         1
#> 36    21.19      1  48        0         1
#> 92.1  22.92      1  47        0         1
#> 69    23.23      1  25        0         1
#> 136.1 21.83      1  43        0         1
#> 70.2   7.38      1  30        1         0
#> 179   18.63      1  42        0         0
#> 97    19.14      1  65        0         1
#> 108.2 18.29      1  39        0         1
#> 49    12.19      1  48        1         0
#> 26.2  15.77      1  49        0         1
#> 60    13.15      1  38        1         0
#> 123.3 13.00      1  44        1         0
#> 189   10.51      1  NA        1         0
#> 199.3 19.81      1  NA        0         1
#> 168   23.72      1  70        0         0
#> 184.2 17.77      1  38        0         0
#> 157   15.10      1  47        0         0
#> 197   21.60      1  69        1         0
#> 170.1 19.54      1  43        0         1
#> 71    24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 73    24.00      0  NA        0         1
#> 98    24.00      0  34        1         0
#> 20    24.00      0  46        1         0
#> 65    24.00      0  57        1         0
#> 38    24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 80    24.00      0  41        0         0
#> 135   24.00      0  58        1         0
#> 151   24.00      0  42        0         0
#> 163   24.00      0  66        0         0
#> 156   24.00      0  50        1         0
#> 122   24.00      0  66        0         0
#> 21    24.00      0  47        0         0
#> 9     24.00      0  31        1         0
#> 64    24.00      0  43        0         0
#> 27    24.00      0  63        1         0
#> 31    24.00      0  36        0         1
#> 80.1  24.00      0  41        0         0
#> 161   24.00      0  45        0         0
#> 186   24.00      0  45        1         0
#> 82    24.00      0  34        0         0
#> 119   24.00      0  17        0         0
#> 80.2  24.00      0  41        0         0
#> 103   24.00      0  56        1         0
#> 64.1  24.00      0  43        0         0
#> 182   24.00      0  35        0         0
#> 162   24.00      0  51        0         0
#> 98.1  24.00      0  34        1         0
#> 152   24.00      0  36        0         1
#> 185   24.00      0  44        1         0
#> 173   24.00      0  19        0         1
#> 53    24.00      0  32        0         1
#> 178   24.00      0  52        1         0
#> 185.1 24.00      0  44        1         0
#> 65.1  24.00      0  57        1         0
#> 95    24.00      0  68        0         1
#> 2     24.00      0   9        0         0
#> 19.1  24.00      0  57        0         1
#> 22    24.00      0  52        1         0
#> 102   24.00      0  49        0         0
#> 38.1  24.00      0  31        1         0
#> 102.1 24.00      0  49        0         0
#> 182.1 24.00      0  35        0         0
#> 38.2  24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 80.3  24.00      0  41        0         0
#> 27.1  24.00      0  63        1         0
#> 198   24.00      0  66        0         1
#> 161.1 24.00      0  45        0         0
#> 44    24.00      0  56        0         0
#> 72    24.00      0  40        0         1
#> 2.1   24.00      0   9        0         0
#> 172   24.00      0  41        0         0
#> 135.1 24.00      0  58        1         0
#> 87    24.00      0  27        0         0
#> 35    24.00      0  51        0         0
#> 82.1  24.00      0  34        0         0
#> 132   24.00      0  55        0         0
#> 19.2  24.00      0  57        0         1
#> 122.1 24.00      0  66        0         0
#> 146   24.00      0  63        1         0
#> 118   24.00      0  44        1         0
#> 47    24.00      0  38        0         1
#> 103.1 24.00      0  56        1         0
#> 196   24.00      0  19        0         0
#> 144   24.00      0  28        0         1
#> 21.1  24.00      0  47        0         0
#> 72.1  24.00      0  40        0         1
#> 161.2 24.00      0  45        0         0
#> 11    24.00      0  42        0         1
#> 161.3 24.00      0  45        0         0
#> 186.1 24.00      0  45        1         0
#> 151.1 24.00      0  42        0         0
#> 80.4  24.00      0  41        0         0
#> 48    24.00      0  31        1         0
#> 151.2 24.00      0  42        0         0
#> 19.3  24.00      0  57        0         1
#> 11.1  24.00      0  42        0         1
#> 141   24.00      0  44        1         0
#> 33    24.00      0  53        0         0
#> 65.2  24.00      0  57        1         0
#> 146.1 24.00      0  63        1         0
#> 64.2  24.00      0  43        0         0
#> 156.1 24.00      0  50        1         0
#> 19.4  24.00      0  57        0         1
#> 165   24.00      0  47        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.701          NA        NA      NA
#> 2 age, Cure model          0.00774        NA        NA      NA
#> 3 grade_ii, Cure model     0.430          NA        NA      NA
#> 4 grade_iii, Cure model    1.19           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00394        NA        NA      NA
#> 2 grade_ii, Survival model   1.16           NA        NA      NA
#> 3 grade_iii, Survival model  0.680          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.700997          0.007743          0.429910          1.188109  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 249.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.700997028      0.007742821      0.429910116      1.188108789 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003943823      1.155406643      0.680441569 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.89258225 0.54534074 0.83483005 0.59135616 0.93508311 0.93051761
#>   [7] 0.96064547 0.84601068 0.99614329 0.35874048 0.98071546 0.41902490
#>  [13] 0.63198855 0.92592836 0.52648158 0.89749210 0.43386081 0.59135616
#>  [19] 0.32399495 0.88760573 0.94395813 0.28774856 0.47303574 0.05599992
#>  [25] 0.94395813 0.68684006 0.52648158 0.86246003 0.65621563 0.86246003
#>  [31] 0.59135616 0.82358333 0.80001500 0.74910317 0.13244588 0.77535749
#>  [37] 0.34250289 0.93508311 0.48456325 0.51650933 0.92126744 0.80614857
#>  [43] 0.73564159 0.35874048 0.96883867 0.35874048 0.66420643 0.56406502
#>  [49] 0.89749210 0.76893864 0.72879389 0.96883867 0.94395813 0.86246003
#>  [55] 0.40406594 0.76235891 0.70814500 0.94395813 0.74241439 0.85152845
#>  [61] 0.96064547 0.81784425 0.70814500 0.88254385 0.98071546 0.69424547
#>  [67] 0.84044359 0.05599992 0.80614857 0.91190184 0.98071546 0.77535749
#>  [73] 0.59135616 0.54534074 0.79382040 0.91190184 0.23953667 0.59135616
#>  [79] 0.69424547 0.13244588 0.57347336 0.75577052 0.98071546 0.66420643
#>  [85] 0.50599420 0.48456325 0.28774856 0.26493069 0.43386081 0.96883867
#>  [91] 0.64820497 0.64017643 0.66420643 0.90713804 0.77535749 0.85704110
#>  [97] 0.86246003 0.20282480 0.70814500 0.82921058 0.46061720 0.57347336
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   154   150   180    55   187   101   149    57   127    15    91    66    76 
#> 12.63 20.33 14.82 19.34  9.92  9.97  8.37 14.46  3.53 22.68  5.33 22.13 19.22 
#>   145   128    42   136    58   113   140   183    92   153    24 183.1    41 
#> 10.07 20.35 12.43 21.83 19.34 22.86 12.68  9.24 22.92 21.33 23.89  9.24 18.02 
#> 128.1   123    88 123.1  55.1    18    39    30    78    26    63 187.1    99 
#> 20.35 13.00 18.37 13.00 19.34 15.21 15.59 17.43 23.88 15.77 22.77  9.92 21.19 
#>    32    52   167   117  15.1    70  15.2   108   166  42.1    79   110  70.1 
#> 20.90 10.42 15.55 17.46 22.68  7.38 22.68 18.29 19.98 12.43 16.23 17.56  7.38 
#> 183.2 123.2   194    85   184 183.3   111    81 149.1    29 184.1    14  91.1 
#>  9.24 13.00 22.40 16.44 17.77  9.24 17.45 14.06  8.37 15.45 17.77 12.89  5.33 
#>   134    96  24.1 167.1   159  91.2  26.1  58.1 150.1     6 159.1   129  55.2 
#> 17.81 14.54 23.89 15.55 10.55  5.33 15.77 19.34 20.33 15.64 10.55 23.41 19.34 
#> 134.1  78.1   170   181  91.3 108.1    90    36  92.1    69 136.1  70.2   179 
#> 17.81 23.88 19.54 16.46  5.33 18.29 20.94 21.19 22.92 23.23 21.83  7.38 18.63 
#>    97 108.2    49  26.2    60 123.3   168 184.2   157   197 170.1    71    19 
#> 19.14 18.29 12.19 15.77 13.15 13.00 23.72 17.77 15.10 21.60 19.54 24.00 24.00 
#>    98    20    65    38   193    80   135   151   163   156   122    21     9 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64    27    31  80.1   161   186    82   119  80.2   103  64.1   182   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.1   152   185   173    53   178 185.1  65.1    95     2  19.1    22   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  38.1 102.1 182.1  38.2     1  80.3  27.1   198 161.1    44    72   2.1   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 135.1    87    35  82.1   132  19.2 122.1   146   118    47 103.1   196   144 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  21.1  72.1 161.2    11 161.3 186.1 151.1  80.4    48 151.2  19.3  11.1   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33  65.2 146.1  64.2 156.1  19.4   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[72]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01330258                0.30653465                0.06505229 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.352186120             0.004663318             0.347750662 
#>   grade_iii, Cure model 
#>             0.581715222 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 42    12.43      1  49        0         1
#> 106   16.67      1  49        1         0
#> 133   14.65      1  57        0         0
#> 78    23.88      1  43        0         0
#> 36    21.19      1  48        0         1
#> 56    12.21      1  60        0         0
#> 56.1  12.21      1  60        0         0
#> 127    3.53      1  62        0         1
#> 177   12.53      1  75        0         0
#> 63    22.77      1  31        1         0
#> 100   16.07      1  60        0         0
#> 58    19.34      1  39        0         0
#> 36.1  21.19      1  48        0         1
#> 68    20.62      1  44        0         0
#> 91     5.33      1  61        0         1
#> 124    9.73      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 45    17.42      1  54        0         1
#> 32    20.90      1  37        1         0
#> 190   20.81      1  42        1         0
#> 158   20.14      1  74        1         0
#> 171   16.57      1  41        0         1
#> 99    21.19      1  38        0         1
#> 140   12.68      1  59        1         0
#> 157   15.10      1  47        0         0
#> 114   13.68      1  NA        0         0
#> 66    22.13      1  53        0         0
#> 114.1 13.68      1  NA        0         0
#> 184   17.77      1  38        0         0
#> 58.1  19.34      1  39        0         0
#> 194   22.40      1  38        0         1
#> 91.1   5.33      1  61        0         1
#> 81    14.06      1  34        0         0
#> 90    20.94      1  50        0         1
#> 40    18.00      1  28        1         0
#> 101    9.97      1  10        0         1
#> 192   16.44      1  31        1         0
#> 107   11.18      1  54        1         0
#> 89    11.44      1  NA        0         0
#> 6     15.64      1  39        0         0
#> 158.1 20.14      1  74        1         0
#> 52    10.42      1  52        0         1
#> 184.1 17.77      1  38        0         0
#> 37    12.52      1  57        1         0
#> 70     7.38      1  30        1         0
#> 37.1  12.52      1  57        1         0
#> 134   17.81      1  47        1         0
#> 180   14.82      1  37        0         0
#> 50    10.02      1  NA        1         0
#> 18    15.21      1  49        1         0
#> 49    12.19      1  48        1         0
#> 183    9.24      1  67        1         0
#> 32.1  20.90      1  37        1         0
#> 97    19.14      1  65        0         1
#> 58.2  19.34      1  39        0         0
#> 175   21.91      1  43        0         0
#> 81.1  14.06      1  34        0         0
#> 181   16.46      1  45        0         1
#> 55    19.34      1  69        0         1
#> 145   10.07      1  65        1         0
#> 8     18.43      1  32        0         0
#> 76    19.22      1  54        0         1
#> 78.1  23.88      1  43        0         0
#> 66.1  22.13      1  53        0         0
#> 133.1 14.65      1  57        0         0
#> 76.1  19.22      1  54        0         1
#> 5     16.43      1  51        0         1
#> 26    15.77      1  49        0         1
#> 140.1 12.68      1  59        1         0
#> 43    12.10      1  61        0         1
#> 58.3  19.34      1  39        0         0
#> 110   17.56      1  65        0         1
#> 117   17.46      1  26        0         1
#> 127.1  3.53      1  62        0         1
#> 6.1   15.64      1  39        0         0
#> 197   21.60      1  69        1         0
#> 89.1  11.44      1  NA        0         0
#> 117.1 17.46      1  26        0         1
#> 189   10.51      1  NA        1         0
#> 45.1  17.42      1  54        0         1
#> 92    22.92      1  47        0         1
#> 79    16.23      1  54        1         0
#> 25     6.32      1  34        1         0
#> 164   23.60      1  76        0         1
#> 130   16.47      1  53        0         1
#> 170   19.54      1  43        0         1
#> 97.1  19.14      1  65        0         1
#> 79.1  16.23      1  54        1         0
#> 18.1  15.21      1  49        1         0
#> 177.1 12.53      1  75        0         0
#> 136   21.83      1  43        0         1
#> 25.1   6.32      1  34        1         0
#> 69    23.23      1  25        0         1
#> 63.1  22.77      1  31        1         0
#> 195   11.76      1  NA        1         0
#> 91.2   5.33      1  61        0         1
#> 190.1 20.81      1  42        1         0
#> 16     8.71      1  71        0         1
#> 199   19.81      1  NA        0         1
#> 32.2  20.90      1  37        1         0
#> 106.1 16.67      1  49        1         0
#> 130.1 16.47      1  53        0         1
#> 25.2   6.32      1  34        1         0
#> 63.2  22.77      1  31        1         0
#> 133.2 14.65      1  57        0         0
#> 140.2 12.68      1  59        1         0
#> 110.1 17.56      1  65        0         1
#> 25.3   6.32      1  34        1         0
#> 150   20.33      1  48        0         0
#> 93    10.33      1  52        0         1
#> 70.1   7.38      1  30        1         0
#> 166   19.98      1  48        0         0
#> 122   24.00      0  66        0         0
#> 193   24.00      0  45        0         1
#> 126   24.00      0  48        0         0
#> 104   24.00      0  50        1         0
#> 162   24.00      0  51        0         0
#> 109   24.00      0  48        0         0
#> 1     24.00      0  23        1         0
#> 165   24.00      0  47        0         0
#> 67    24.00      0  25        0         0
#> 147   24.00      0  76        1         0
#> 19    24.00      0  57        0         1
#> 191   24.00      0  60        0         1
#> 147.1 24.00      0  76        1         0
#> 176   24.00      0  43        0         1
#> 38    24.00      0  31        1         0
#> 200   24.00      0  64        0         0
#> 98    24.00      0  34        1         0
#> 191.1 24.00      0  60        0         1
#> 182   24.00      0  35        0         0
#> 53    24.00      0  32        0         1
#> 193.1 24.00      0  45        0         1
#> 193.2 24.00      0  45        0         1
#> 47    24.00      0  38        0         1
#> 21    24.00      0  47        0         0
#> 35    24.00      0  51        0         0
#> 34    24.00      0  36        0         0
#> 102   24.00      0  49        0         0
#> 163   24.00      0  66        0         0
#> 102.1 24.00      0  49        0         0
#> 33    24.00      0  53        0         0
#> 31    24.00      0  36        0         1
#> 121   24.00      0  57        1         0
#> 73    24.00      0  NA        0         1
#> 27    24.00      0  63        1         0
#> 27.1  24.00      0  63        1         0
#> 109.1 24.00      0  48        0         0
#> 137   24.00      0  45        1         0
#> 53.1  24.00      0  32        0         1
#> 148   24.00      0  61        1         0
#> 80    24.00      0  41        0         0
#> 165.1 24.00      0  47        0         0
#> 116   24.00      0  58        0         1
#> 156   24.00      0  50        1         0
#> 95    24.00      0  68        0         1
#> 67.1  24.00      0  25        0         0
#> 75    24.00      0  21        1         0
#> 182.1 24.00      0  35        0         0
#> 38.1  24.00      0  31        1         0
#> 22    24.00      0  52        1         0
#> 27.2  24.00      0  63        1         0
#> 165.2 24.00      0  47        0         0
#> 120   24.00      0  68        0         1
#> 120.1 24.00      0  68        0         1
#> 9     24.00      0  31        1         0
#> 73.1  24.00      0  NA        0         1
#> 121.1 24.00      0  57        1         0
#> 38.2  24.00      0  31        1         0
#> 95.1  24.00      0  68        0         1
#> 163.1 24.00      0  66        0         0
#> 104.1 24.00      0  50        1         0
#> 119   24.00      0  17        0         0
#> 174   24.00      0  49        1         0
#> 193.3 24.00      0  45        0         1
#> 75.1  24.00      0  21        1         0
#> 200.1 24.00      0  64        0         0
#> 47.1  24.00      0  38        0         1
#> 196   24.00      0  19        0         0
#> 118   24.00      0  44        1         0
#> 131   24.00      0  66        0         0
#> 103   24.00      0  56        1         0
#> 33.1  24.00      0  53        0         0
#> 173   24.00      0  19        0         1
#> 47.2  24.00      0  38        0         1
#> 135   24.00      0  58        1         0
#> 53.2  24.00      0  32        0         1
#> 160   24.00      0  31        1         0
#> 103.1 24.00      0  56        1         0
#> 176.1 24.00      0  43        0         1
#> 46    24.00      0  71        0         0
#> 165.3 24.00      0  47        0         0
#> 84    24.00      0  39        0         1
#> 104.2 24.00      0  50        1         0
#> 126.1 24.00      0  48        0         0
#> 65    24.00      0  57        1         0
#> 62    24.00      0  71        0         0
#> 161   24.00      0  45        0         0
#> 72    24.00      0  40        0         1
#> 109.2 24.00      0  48        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.352          NA        NA      NA
#> 2 age, Cure model          0.00466        NA        NA      NA
#> 3 grade_ii, Cure model     0.348          NA        NA      NA
#> 4 grade_iii, Cure model    0.582          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0133        NA        NA      NA
#> 2 grade_ii, Survival model    0.307         NA        NA      NA
#> 3 grade_iii, Survival model   0.0651        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.352186          0.004663          0.347751          0.581715  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 257.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.352186120      0.004663318      0.347750662      0.581715222 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01330258       0.30653465       0.06505229 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.8931543 0.7131497 0.8294873 0.1005407 0.4051678 0.8981941 0.8981941
#>   [8] 0.9913180 0.8727078 0.2586071 0.7769953 0.5628626 0.4051678 0.5066823
#>  [15] 0.9781585 0.8008734 0.6995282 0.4537731 0.4861317 0.5269353 0.7263654
#>  [22] 0.4051678 0.8569313 0.8181357 0.3294334 0.6569357 0.5628626 0.3115195
#>  [29] 0.9781585 0.8459811 0.4416359 0.6419449 0.9371182 0.7522025 0.9179310
#>  [36] 0.7890424 0.5269353 0.9227769 0.6569357 0.8830434 0.9511589 0.8830434
#>  [43] 0.6495068 0.8238239 0.8067300 0.9081099 0.9418480 0.4537731 0.6189911
#>  [50] 0.5628626 0.3608857 0.8459811 0.7458021 0.5628626 0.9323832 0.6342953
#>  [57] 0.6030837 0.1005407 0.3294334 0.8294873 0.6030837 0.7585460 0.7830431
#>  [64] 0.8569313 0.9130389 0.5628626 0.6714941 0.6855839 0.9913180 0.7890424
#>  [71] 0.3914336 0.6855839 0.6995282 0.2339017 0.7648316 0.9603161 0.1767882
#>  [78] 0.7329529 0.5540058 0.6189911 0.7648316 0.8067300 0.8727078 0.3764356
#>  [85] 0.9603161 0.2063041 0.2586071 0.9781585 0.4861317 0.9465234 0.4537731
#>  [92] 0.7131497 0.7329529 0.9603161 0.2586071 0.8294873 0.8569313 0.6714941
#>  [99] 0.9603161 0.5168974 0.9275941 0.9511589 0.5450210 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>    42   106   133    78    36    56  56.1   127   177    63   100    58  36.1 
#> 12.43 16.67 14.65 23.88 21.19 12.21 12.21  3.53 12.53 22.77 16.07 19.34 21.19 
#>    68    91   167    45    32   190   158   171    99   140   157    66   184 
#> 20.62  5.33 15.55 17.42 20.90 20.81 20.14 16.57 21.19 12.68 15.10 22.13 17.77 
#>  58.1   194  91.1    81    90    40   101   192   107     6 158.1    52 184.1 
#> 19.34 22.40  5.33 14.06 20.94 18.00  9.97 16.44 11.18 15.64 20.14 10.42 17.77 
#>    37    70  37.1   134   180    18    49   183  32.1    97  58.2   175  81.1 
#> 12.52  7.38 12.52 17.81 14.82 15.21 12.19  9.24 20.90 19.14 19.34 21.91 14.06 
#>   181    55   145     8    76  78.1  66.1 133.1  76.1     5    26 140.1    43 
#> 16.46 19.34 10.07 18.43 19.22 23.88 22.13 14.65 19.22 16.43 15.77 12.68 12.10 
#>  58.3   110   117 127.1   6.1   197 117.1  45.1    92    79    25   164   130 
#> 19.34 17.56 17.46  3.53 15.64 21.60 17.46 17.42 22.92 16.23  6.32 23.60 16.47 
#>   170  97.1  79.1  18.1 177.1   136  25.1    69  63.1  91.2 190.1    16  32.2 
#> 19.54 19.14 16.23 15.21 12.53 21.83  6.32 23.23 22.77  5.33 20.81  8.71 20.90 
#> 106.1 130.1  25.2  63.2 133.2 140.2 110.1  25.3   150    93  70.1   166   122 
#> 16.67 16.47  6.32 22.77 14.65 12.68 17.56  6.32 20.33 10.33  7.38 19.98 24.00 
#>   193   126   104   162   109     1   165    67   147    19   191 147.1   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38   200    98 191.1   182    53 193.1 193.2    47    21    35    34   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   163 102.1    33    31   121    27  27.1 109.1   137  53.1   148    80 165.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116   156    95  67.1    75 182.1  38.1    22  27.2 165.2   120 120.1     9 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 121.1  38.2  95.1 163.1 104.1   119   174 193.3  75.1 200.1  47.1   196   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131   103  33.1   173  47.2   135  53.2   160 103.1 176.1    46 165.3    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 104.2 126.1    65    62   161    72 109.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[73]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.006686589               0.634508065               0.503052450 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -1.6538726               0.0314740               0.1175149 
#>   grade_iii, Cure model 
#>               1.1180527 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 91     5.33      1  61        0         1
#> 175   21.91      1  43        0         0
#> 5     16.43      1  51        0         1
#> 149    8.37      1  33        1         0
#> 140   12.68      1  59        1         0
#> 190   20.81      1  42        1         0
#> 187    9.92      1  39        1         0
#> 96    14.54      1  33        0         1
#> 79    16.23      1  54        1         0
#> 110   17.56      1  65        0         1
#> 183    9.24      1  67        1         0
#> 66    22.13      1  53        0         0
#> 133   14.65      1  57        0         0
#> 171   16.57      1  41        0         1
#> 190.1 20.81      1  42        1         0
#> 30    17.43      1  78        0         0
#> 140.1 12.68      1  59        1         0
#> 168   23.72      1  70        0         0
#> 41    18.02      1  40        1         0
#> 60    13.15      1  38        1         0
#> 32    20.90      1  37        1         0
#> 113   22.86      1  34        0         0
#> 91.1   5.33      1  61        0         1
#> 158   20.14      1  74        1         0
#> 166   19.98      1  48        0         0
#> 192   16.44      1  31        1         0
#> 181   16.46      1  45        0         1
#> 49    12.19      1  48        1         0
#> 55    19.34      1  69        0         1
#> 23    16.92      1  61        0         0
#> 134   17.81      1  47        1         0
#> 157   15.10      1  47        0         0
#> 129   23.41      1  53        1         0
#> 26    15.77      1  49        0         1
#> 26.1  15.77      1  49        0         1
#> 96.1  14.54      1  33        0         1
#> 124    9.73      1  NA        1         0
#> 123   13.00      1  44        1         0
#> 55.1  19.34      1  69        0         1
#> 4     17.64      1  NA        0         1
#> 49.1  12.19      1  48        1         0
#> 153   21.33      1  55        1         0
#> 57    14.46      1  45        0         1
#> 85    16.44      1  36        0         0
#> 36    21.19      1  48        0         1
#> 125   15.65      1  67        1         0
#> 150   20.33      1  48        0         0
#> 107   11.18      1  54        1         0
#> 49.2  12.19      1  48        1         0
#> 96.2  14.54      1  33        0         1
#> 26.2  15.77      1  49        0         1
#> 129.1 23.41      1  53        1         0
#> 99    21.19      1  38        0         1
#> 134.1 17.81      1  47        1         0
#> 26.3  15.77      1  49        0         1
#> 68    20.62      1  44        0         0
#> 91.2   5.33      1  61        0         1
#> 76    19.22      1  54        0         1
#> 15    22.68      1  48        0         0
#> 89    11.44      1  NA        0         0
#> 184   17.77      1  38        0         0
#> 89.1  11.44      1  NA        0         0
#> 6     15.64      1  39        0         0
#> 39    15.59      1  37        0         1
#> 110.1 17.56      1  65        0         1
#> 69    23.23      1  25        0         1
#> 16     8.71      1  71        0         1
#> 88    18.37      1  47        0         0
#> 199   19.81      1  NA        0         1
#> 16.1   8.71      1  71        0         1
#> 92    22.92      1  47        0         1
#> 26.4  15.77      1  49        0         1
#> 140.2 12.68      1  59        1         0
#> 77     7.27      1  67        0         1
#> 187.1  9.92      1  39        1         0
#> 164   23.60      1  76        0         1
#> 189   10.51      1  NA        1         0
#> 107.1 11.18      1  54        1         0
#> 99.1  21.19      1  38        0         1
#> 170   19.54      1  43        0         1
#> 177   12.53      1  75        0         0
#> 49.3  12.19      1  48        1         0
#> 170.1 19.54      1  43        0         1
#> 171.1 16.57      1  41        0         1
#> 188   16.16      1  46        0         1
#> 5.1   16.43      1  51        0         1
#> 40    18.00      1  28        1         0
#> 166.1 19.98      1  48        0         0
#> 136   21.83      1  43        0         1
#> 125.1 15.65      1  67        1         0
#> 59    10.16      1  NA        1         0
#> 199.1 19.81      1  NA        0         1
#> 24    23.89      1  38        0         0
#> 58    19.34      1  39        0         0
#> 89.2  11.44      1  NA        0         0
#> 107.2 11.18      1  54        1         0
#> 43    12.10      1  61        0         1
#> 91.3   5.33      1  61        0         1
#> 155   13.08      1  26        0         0
#> 49.4  12.19      1  48        1         0
#> 61    10.12      1  36        0         1
#> 188.1 16.16      1  46        0         1
#> 56    12.21      1  60        0         0
#> 81    14.06      1  34        0         0
#> 171.2 16.57      1  41        0         1
#> 111   17.45      1  47        0         1
#> 8     18.43      1  32        0         0
#> 4.1   17.64      1  NA        0         1
#> 157.1 15.10      1  47        0         0
#> 56.1  12.21      1  60        0         0
#> 117   17.46      1  26        0         1
#> 24.1  23.89      1  38        0         0
#> 71    24.00      0  51        0         0
#> 53    24.00      0  32        0         1
#> 33    24.00      0  53        0         0
#> 28    24.00      0  67        1         0
#> 178   24.00      0  52        1         0
#> 67    24.00      0  25        0         0
#> 193   24.00      0  45        0         1
#> 160   24.00      0  31        1         0
#> 135   24.00      0  58        1         0
#> 87    24.00      0  27        0         0
#> 67.1  24.00      0  25        0         0
#> 174   24.00      0  49        1         0
#> 174.1 24.00      0  49        1         0
#> 80    24.00      0  41        0         0
#> 196   24.00      0  19        0         0
#> 121   24.00      0  57        1         0
#> 193.1 24.00      0  45        0         1
#> 87.1  24.00      0  27        0         0
#> 103   24.00      0  56        1         0
#> 47    24.00      0  38        0         1
#> 44    24.00      0  56        0         0
#> 135.1 24.00      0  58        1         0
#> 75    24.00      0  21        1         0
#> 116   24.00      0  58        0         1
#> 83    24.00      0   6        0         0
#> 138   24.00      0  44        1         0
#> 44.1  24.00      0  56        0         0
#> 143   24.00      0  51        0         0
#> 44.2  24.00      0  56        0         0
#> 185   24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 185.1 24.00      0  44        1         0
#> 103.1 24.00      0  56        1         0
#> 31    24.00      0  36        0         1
#> 132   24.00      0  55        0         0
#> 33.1  24.00      0  53        0         0
#> 135.2 24.00      0  58        1         0
#> 3     24.00      0  31        1         0
#> 193.2 24.00      0  45        0         1
#> 152   24.00      0  36        0         1
#> 71.1  24.00      0  51        0         0
#> 196.1 24.00      0  19        0         0
#> 196.2 24.00      0  19        0         0
#> 146   24.00      0  63        1         0
#> 1     24.00      0  23        1         0
#> 162   24.00      0  51        0         0
#> 115   24.00      0  NA        1         0
#> 65    24.00      0  57        1         0
#> 74    24.00      0  43        0         1
#> 103.2 24.00      0  56        1         0
#> 186   24.00      0  45        1         0
#> 143.1 24.00      0  51        0         0
#> 47.1  24.00      0  38        0         1
#> 74.1  24.00      0  43        0         1
#> 47.2  24.00      0  38        0         1
#> 104   24.00      0  50        1         0
#> 138.1 24.00      0  44        1         0
#> 67.2  24.00      0  25        0         0
#> 87.2  24.00      0  27        0         0
#> 28.1  24.00      0  67        1         0
#> 67.3  24.00      0  25        0         0
#> 112   24.00      0  61        0         0
#> 95    24.00      0  68        0         1
#> 3.1   24.00      0  31        1         0
#> 173   24.00      0  19        0         1
#> 67.4  24.00      0  25        0         0
#> 121.1 24.00      0  57        1         0
#> 151   24.00      0  42        0         0
#> 116.1 24.00      0  58        0         1
#> 35    24.00      0  51        0         0
#> 151.1 24.00      0  42        0         0
#> 173.1 24.00      0  19        0         1
#> 35.1  24.00      0  51        0         0
#> 141   24.00      0  44        1         0
#> 83.1  24.00      0   6        0         0
#> 148   24.00      0  61        1         0
#> 102   24.00      0  49        0         0
#> 82.1  24.00      0  34        0         0
#> 132.1 24.00      0  55        0         0
#> 73    24.00      0  NA        0         1
#> 174.2 24.00      0  49        1         0
#> 73.1  24.00      0  NA        0         1
#> 160.1 24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 174.3 24.00      0  49        1         0
#> 138.2 24.00      0  44        1         0
#> 198   24.00      0  66        0         1
#> 172   24.00      0  41        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.65          NA        NA      NA
#> 2 age, Cure model           0.0315        NA        NA      NA
#> 3 grade_ii, Cure model      0.118         NA        NA      NA
#> 4 grade_iii, Cure model     1.12          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00669        NA        NA      NA
#> 2 grade_ii, Survival model   0.635          NA        NA      NA
#> 3 grade_iii, Survival model  0.503          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.65387           0.03147           0.11751           1.11805  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.7 
#> Residual Deviance: 239.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -1.6538726        0.0314740        0.1175149        1.1180527 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.006686589      0.634508065      0.503052450 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.98205146 0.34307836 0.71514027 0.97272551 0.86662152 0.43707654
#>   [7] 0.94888852 0.82098678 0.72875791 0.62662134 0.95853665 0.32680573
#>  [13] 0.81506894 0.67258359 0.43707654 0.65751491 0.86662152 0.14896649
#>  [19] 0.58501756 0.84968033 0.42503691 0.29321298 0.98205146 0.48098871
#>  [25] 0.49141960 0.70116996 0.69403590 0.89886439 0.53112757 0.66507074
#>  [31] 0.60225198 0.80323653 0.21868467 0.74859712 0.74859712 0.82098678
#>  [37] 0.86101448 0.53112757 0.89886439 0.37430098 0.83821970 0.70116996
#>  [43] 0.38850894 0.77922096 0.47006175 0.92924544 0.89886439 0.82098678
#>  [49] 0.74859712 0.21868467 0.38850894 0.60225198 0.74859712 0.45903782
#>  [55] 0.98205146 0.55821057 0.31018129 0.61848298 0.79124462 0.79726578
#>  [61] 0.62662134 0.25729397 0.96332575 0.57612711 0.96332575 0.27599062
#>  [67] 0.74859712 0.86662152 0.97740615 0.94888852 0.18927770 0.92924544
#>  [73] 0.38850894 0.51173719 0.88277390 0.89886439 0.51173719 0.67258359
#>  [79] 0.73549099 0.71514027 0.59371446 0.49141960 0.35909806 0.77922096
#>  [85] 0.06858677 0.53112757 0.92924544 0.92416978 0.98205146 0.85535097
#>  [91] 0.89886439 0.94397967 0.73549099 0.88816964 0.84395498 0.67258359
#>  [97] 0.64989916 0.56718572 0.80323653 0.88816964 0.64216888 0.06858677
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>    91   175     5   149   140   190   187    96    79   110   183    66   133 
#>  5.33 21.91 16.43  8.37 12.68 20.81  9.92 14.54 16.23 17.56  9.24 22.13 14.65 
#>   171 190.1    30 140.1   168    41    60    32   113  91.1   158   166   192 
#> 16.57 20.81 17.43 12.68 23.72 18.02 13.15 20.90 22.86  5.33 20.14 19.98 16.44 
#>   181    49    55    23   134   157   129    26  26.1  96.1   123  55.1  49.1 
#> 16.46 12.19 19.34 16.92 17.81 15.10 23.41 15.77 15.77 14.54 13.00 19.34 12.19 
#>   153    57    85    36   125   150   107  49.2  96.2  26.2 129.1    99 134.1 
#> 21.33 14.46 16.44 21.19 15.65 20.33 11.18 12.19 14.54 15.77 23.41 21.19 17.81 
#>  26.3    68  91.2    76    15   184     6    39 110.1    69    16    88  16.1 
#> 15.77 20.62  5.33 19.22 22.68 17.77 15.64 15.59 17.56 23.23  8.71 18.37  8.71 
#>    92  26.4 140.2    77 187.1   164 107.1  99.1   170   177  49.3 170.1 171.1 
#> 22.92 15.77 12.68  7.27  9.92 23.60 11.18 21.19 19.54 12.53 12.19 19.54 16.57 
#>   188   5.1    40 166.1   136 125.1    24    58 107.2    43  91.3   155  49.4 
#> 16.16 16.43 18.00 19.98 21.83 15.65 23.89 19.34 11.18 12.10  5.33 13.08 12.19 
#>    61 188.1    56    81 171.2   111     8 157.1  56.1   117  24.1    71    53 
#> 10.12 16.16 12.21 14.06 16.57 17.45 18.43 15.10 12.21 17.46 23.89 24.00 24.00 
#>    33    28   178    67   193   160   135    87  67.1   174 174.1    80   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121 193.1  87.1   103    47    44 135.1    75   116    83   138  44.1   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  44.2   185    82 185.1 103.1    31   132  33.1 135.2     3 193.2   152  71.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 196.1 196.2   146     1   162    65    74 103.2   186 143.1  47.1  74.1  47.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104 138.1  67.2  87.2  28.1  67.3   112    95   3.1   173  67.4 121.1   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 116.1    35 151.1 173.1  35.1   141  83.1   148   102  82.1 132.1 174.2 160.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142 174.3 138.2   198   172 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[74]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.001399503               0.516613046               0.516027298 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.002980789             0.001728955            -0.261800337 
#>   grade_iii, Cure model 
#>             0.785088274 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 26    15.77      1  49        0         1
#> 16     8.71      1  71        0         1
#> 166   19.98      1  48        0         0
#> 181   16.46      1  45        0         1
#> 4     17.64      1  NA        0         1
#> 177   12.53      1  75        0         0
#> 105   19.75      1  60        0         0
#> 39    15.59      1  37        0         1
#> 63    22.77      1  31        1         0
#> 114   13.68      1  NA        0         0
#> 129   23.41      1  53        1         0
#> 68    20.62      1  44        0         0
#> 111   17.45      1  47        0         1
#> 128   20.35      1  35        0         1
#> 175   21.91      1  43        0         0
#> 128.1 20.35      1  35        0         1
#> 26.1  15.77      1  49        0         1
#> 129.1 23.41      1  53        1         0
#> 68.1  20.62      1  44        0         0
#> 56    12.21      1  60        0         0
#> 113   22.86      1  34        0         0
#> 88    18.37      1  47        0         0
#> 169   22.41      1  46        0         0
#> 78    23.88      1  43        0         0
#> 66    22.13      1  53        0         0
#> 68.2  20.62      1  44        0         0
#> 69    23.23      1  25        0         1
#> 166.1 19.98      1  48        0         0
#> 8     18.43      1  32        0         0
#> 39.1  15.59      1  37        0         1
#> 177.1 12.53      1  75        0         0
#> 88.1  18.37      1  47        0         0
#> 183    9.24      1  67        1         0
#> 123   13.00      1  44        1         0
#> 51    18.23      1  83        0         1
#> 85    16.44      1  36        0         0
#> 25     6.32      1  34        1         0
#> 49    12.19      1  48        1         0
#> 125   15.65      1  67        1         0
#> 96    14.54      1  33        0         1
#> 194   22.40      1  38        0         1
#> 175.1 21.91      1  43        0         0
#> 108   18.29      1  39        0         1
#> 110   17.56      1  65        0         1
#> 14    12.89      1  21        0         0
#> 124    9.73      1  NA        1         0
#> 15    22.68      1  48        0         0
#> 8.1   18.43      1  32        0         0
#> 23    16.92      1  61        0         0
#> 101    9.97      1  10        0         1
#> 155   13.08      1  26        0         0
#> 167   15.55      1  56        1         0
#> 155.1 13.08      1  26        0         0
#> 167.1 15.55      1  56        1         0
#> 86    23.81      1  58        0         1
#> 169.1 22.41      1  46        0         0
#> 58    19.34      1  39        0         0
#> 166.2 19.98      1  48        0         0
#> 92    22.92      1  47        0         1
#> 154   12.63      1  20        1         0
#> 8.2   18.43      1  32        0         0
#> 23.1  16.92      1  61        0         0
#> 63.1  22.77      1  31        1         0
#> 167.2 15.55      1  56        1         0
#> 18    15.21      1  49        1         0
#> 190   20.81      1  42        1         0
#> 51.1  18.23      1  83        0         1
#> 113.1 22.86      1  34        0         0
#> 58.1  19.34      1  39        0         0
#> 37    12.52      1  57        1         0
#> 187    9.92      1  39        1         0
#> 78.1  23.88      1  43        0         0
#> 55    19.34      1  69        0         1
#> 93    10.33      1  52        0         1
#> 167.3 15.55      1  56        1         0
#> 195   11.76      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 190.1 20.81      1  42        1         0
#> 93.1  10.33      1  52        0         1
#> 175.2 21.91      1  43        0         0
#> 26.2  15.77      1  49        0         1
#> 43    12.10      1  61        0         1
#> 86.1  23.81      1  58        0         1
#> 139   21.49      1  63        1         0
#> 70     7.38      1  30        1         0
#> 78.2  23.88      1  43        0         0
#> 114.1 13.68      1  NA        0         0
#> 70.1   7.38      1  30        1         0
#> 13    14.34      1  54        0         1
#> 37.1  12.52      1  57        1         0
#> 197   21.60      1  69        1         0
#> 77     7.27      1  67        0         1
#> 51.2  18.23      1  83        0         1
#> 189   10.51      1  NA        1         0
#> 129.2 23.41      1  53        1         0
#> 199   19.81      1  NA        0         1
#> 129.3 23.41      1  53        1         0
#> 170   19.54      1  43        0         1
#> 106   16.67      1  49        1         0
#> 76    19.22      1  54        0         1
#> 171   16.57      1  41        0         1
#> 66.1  22.13      1  53        0         0
#> 90    20.94      1  50        0         1
#> 192   16.44      1  31        1         0
#> 168   23.72      1  70        0         0
#> 49.1  12.19      1  48        1         0
#> 18.1  15.21      1  49        1         0
#> 97    19.14      1  65        0         1
#> 100   16.07      1  60        0         0
#> 61    10.12      1  36        0         1
#> 55.1  19.34      1  69        0         1
#> 154.1 12.63      1  20        1         0
#> 118   24.00      0  44        1         0
#> 71    24.00      0  51        0         0
#> 178   24.00      0  52        1         0
#> 138   24.00      0  44        1         0
#> 152   24.00      0  36        0         1
#> 34    24.00      0  36        0         0
#> 65    24.00      0  57        1         0
#> 186   24.00      0  45        1         0
#> 144   24.00      0  28        0         1
#> 120   24.00      0  68        0         1
#> 160   24.00      0  31        1         0
#> 141   24.00      0  44        1         0
#> 44    24.00      0  56        0         0
#> 185   24.00      0  44        1         0
#> 131   24.00      0  66        0         0
#> 53    24.00      0  32        0         1
#> 142   24.00      0  53        0         0
#> 64    24.00      0  43        0         0
#> 182   24.00      0  35        0         0
#> 173   24.00      0  19        0         1
#> 103   24.00      0  56        1         0
#> 120.1 24.00      0  68        0         1
#> 71.1  24.00      0  51        0         0
#> 83    24.00      0   6        0         0
#> 118.1 24.00      0  44        1         0
#> 172   24.00      0  41        0         0
#> 178.1 24.00      0  52        1         0
#> 33    24.00      0  53        0         0
#> 73    24.00      0  NA        0         1
#> 160.1 24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 22    24.00      0  52        1         0
#> 27    24.00      0  63        1         0
#> 62    24.00      0  71        0         0
#> 12    24.00      0  63        0         0
#> 148   24.00      0  61        1         0
#> 138.1 24.00      0  44        1         0
#> 27.1  24.00      0  63        1         0
#> 48    24.00      0  31        1         0
#> 132   24.00      0  55        0         0
#> 144.1 24.00      0  28        0         1
#> 165   24.00      0  47        0         0
#> 17    24.00      0  38        0         1
#> 162   24.00      0  51        0         0
#> 165.1 24.00      0  47        0         0
#> 46.1  24.00      0  71        0         0
#> 35    24.00      0  51        0         0
#> 161   24.00      0  45        0         0
#> 2     24.00      0   9        0         0
#> 95    24.00      0  68        0         1
#> 162.1 24.00      0  51        0         0
#> 98    24.00      0  34        1         0
#> 135   24.00      0  58        1         0
#> 174   24.00      0  49        1         0
#> 12.1  24.00      0  63        0         0
#> 54    24.00      0  53        1         0
#> 174.1 24.00      0  49        1         0
#> 2.1   24.00      0   9        0         0
#> 122   24.00      0  66        0         0
#> 116   24.00      0  58        0         1
#> 160.2 24.00      0  31        1         0
#> 162.2 24.00      0  51        0         0
#> 120.2 24.00      0  68        0         1
#> 137   24.00      0  45        1         0
#> 22.1  24.00      0  52        1         0
#> 135.1 24.00      0  58        1         0
#> 87    24.00      0  27        0         0
#> 138.2 24.00      0  44        1         0
#> 34.1  24.00      0  36        0         0
#> 54.1  24.00      0  53        1         0
#> 143   24.00      0  51        0         0
#> 191   24.00      0  60        0         1
#> 82    24.00      0  34        0         0
#> 28    24.00      0  67        1         0
#> 38    24.00      0  31        1         0
#> 178.2 24.00      0  52        1         0
#> 138.3 24.00      0  44        1         0
#> 103.1 24.00      0  56        1         0
#> 193   24.00      0  45        0         1
#> 160.3 24.00      0  31        1         0
#> 137.1 24.00      0  45        1         0
#> 121   24.00      0  57        1         0
#> 94    24.00      0  51        0         1
#> 198   24.00      0  66        0         1
#> 83.1  24.00      0   6        0         0
#> 119   24.00      0  17        0         0
#> 131.1 24.00      0  66        0         0
#> 143.1 24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.00298        NA        NA      NA
#> 2 age, Cure model          0.00173        NA        NA      NA
#> 3 grade_ii, Cure model    -0.262          NA        NA      NA
#> 4 grade_iii, Cure model    0.785          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00140        NA        NA      NA
#> 2 grade_ii, Survival model   0.517          NA        NA      NA
#> 3 grade_iii, Survival model  0.516          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.002981          0.001729         -0.261800          0.785088  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.5 
#> Residual Deviance: 256.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.002980789      0.001728955     -0.261800337      0.785088274 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.001399503      0.516613046      0.516027298 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.69496011 0.95707674 0.42711609 0.66111917 0.85266495 0.45525021
#>   [7] 0.72783334 0.21389949 0.12382610 0.37944830 0.61782227 0.40823001
#>  [13] 0.29830308 0.40823001 0.69496011 0.12382610 0.37944830 0.88299888
#>  [19] 0.19157043 0.55570072 0.24568520 0.02636611 0.27745644 0.37944830
#>  [25] 0.16825206 0.42711609 0.52877962 0.72783334 0.85266495 0.55570072
#>  [31] 0.94980200 0.82199465 0.58288869 0.66964940 0.98578373 0.89058384
#>  [37] 0.71958105 0.79095550 0.26688787 0.29830308 0.57383389 0.60904363
#>  [43] 0.82972253 0.23490461 0.52877962 0.62653055 0.93516024 0.80652816
#>  [49] 0.74402864 0.80652816 0.74402864 0.07625675 0.24568520 0.47432602
#>  [55] 0.42711609 0.18012556 0.83745249 0.52877962 0.62653055 0.21389949
#>  [61] 0.74402864 0.77532584 0.36009886 0.58288869 0.19157043 0.47432602
#>  [67] 0.86790450 0.94249782 0.02636611 0.47432602 0.91302363 0.74402864
#>  [73] 0.99290556 0.36009886 0.91302363 0.29830308 0.69496011 0.90554519
#>  [79] 0.07625675 0.33967435 0.96432301 0.02636611 0.96432301 0.79876283
#>  [85] 0.86790450 0.32920872 0.97863098 0.58288869 0.12382610 0.12382610
#>  [91] 0.46484461 0.64386525 0.51047489 0.65252540 0.27745644 0.34997034
#>  [97] 0.66964940 0.10694033 0.89058384 0.77532584 0.51966994 0.68648277
#> [103] 0.92778493 0.47432602 0.83745249 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    26    16   166   181   177   105    39    63   129    68   111   128   175 
#> 15.77  8.71 19.98 16.46 12.53 19.75 15.59 22.77 23.41 20.62 17.45 20.35 21.91 
#> 128.1  26.1 129.1  68.1    56   113    88   169    78    66  68.2    69 166.1 
#> 20.35 15.77 23.41 20.62 12.21 22.86 18.37 22.41 23.88 22.13 20.62 23.23 19.98 
#>     8  39.1 177.1  88.1   183   123    51    85    25    49   125    96   194 
#> 18.43 15.59 12.53 18.37  9.24 13.00 18.23 16.44  6.32 12.19 15.65 14.54 22.40 
#> 175.1   108   110    14    15   8.1    23   101   155   167 155.1 167.1    86 
#> 21.91 18.29 17.56 12.89 22.68 18.43 16.92  9.97 13.08 15.55 13.08 15.55 23.81 
#> 169.1    58 166.2    92   154   8.2  23.1  63.1 167.2    18   190  51.1 113.1 
#> 22.41 19.34 19.98 22.92 12.63 18.43 16.92 22.77 15.55 15.21 20.81 18.23 22.86 
#>  58.1    37   187  78.1    55    93 167.3    91 190.1  93.1 175.2  26.2    43 
#> 19.34 12.52  9.92 23.88 19.34 10.33 15.55  5.33 20.81 10.33 21.91 15.77 12.10 
#>  86.1   139    70  78.2  70.1    13  37.1   197    77  51.2 129.2 129.3   170 
#> 23.81 21.49  7.38 23.88  7.38 14.34 12.52 21.60  7.27 18.23 23.41 23.41 19.54 
#>   106    76   171  66.1    90   192   168  49.1  18.1    97   100    61  55.1 
#> 16.67 19.22 16.57 22.13 20.94 16.44 23.72 12.19 15.21 19.14 16.07 10.12 19.34 
#> 154.1   118    71   178   138   152    34    65   186   144   120   160   141 
#> 12.63 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44   185   131    53   142    64   182   173   103 120.1  71.1    83 118.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   172 178.1    33 160.1    46    22    27    62    12   148 138.1  27.1    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   132 144.1   165    17   162 165.1  46.1    35   161     2    95 162.1    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135   174  12.1    54 174.1   2.1   122   116 160.2 162.2 120.2   137  22.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 135.1    87 138.2  34.1  54.1   143   191    82    28    38 178.2 138.3 103.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193 160.3 137.1   121    94   198  83.1   119 131.1 143.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[75]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.007538107               0.366345391              -0.326558436 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.11989113              0.01287543              0.70068157 
#>   grade_iii, Cure model 
#>              1.08528374 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 51    18.23      1  83        0         1
#> 16     8.71      1  71        0         1
#> 123   13.00      1  44        1         0
#> 159   10.55      1  50        0         1
#> 100   16.07      1  60        0         0
#> 79    16.23      1  54        1         0
#> 187    9.92      1  39        1         0
#> 57    14.46      1  45        0         1
#> 145   10.07      1  65        1         0
#> 16.1   8.71      1  71        0         1
#> 4     17.64      1  NA        0         1
#> 23    16.92      1  61        0         0
#> 18    15.21      1  49        1         0
#> 36    21.19      1  48        0         1
#> 194   22.40      1  38        0         1
#> 108   18.29      1  39        0         1
#> 57.1  14.46      1  45        0         1
#> 55    19.34      1  69        0         1
#> 105   19.75      1  60        0         0
#> 192   16.44      1  31        1         0
#> 136   21.83      1  43        0         1
#> 139   21.49      1  63        1         0
#> 32    20.90      1  37        1         0
#> 134   17.81      1  47        1         0
#> 8     18.43      1  32        0         0
#> 111   17.45      1  47        0         1
#> 134.1 17.81      1  47        1         0
#> 180   14.82      1  37        0         0
#> 195   11.76      1  NA        1         0
#> 8.1   18.43      1  32        0         0
#> 14    12.89      1  21        0         0
#> 13    14.34      1  54        0         1
#> 159.1 10.55      1  50        0         1
#> 164   23.60      1  76        0         1
#> 130   16.47      1  53        0         1
#> 145.1 10.07      1  65        1         0
#> 32.1  20.90      1  37        1         0
#> 123.1 13.00      1  44        1         0
#> 4.1   17.64      1  NA        0         1
#> 111.1 17.45      1  47        0         1
#> 192.1 16.44      1  31        1         0
#> 69    23.23      1  25        0         1
#> 150   20.33      1  48        0         0
#> 123.2 13.00      1  44        1         0
#> 114   13.68      1  NA        0         0
#> 150.1 20.33      1  48        0         0
#> 4.2   17.64      1  NA        0         1
#> 81    14.06      1  34        0         0
#> 25     6.32      1  34        1         0
#> 199   19.81      1  NA        0         1
#> 194.1 22.40      1  38        0         1
#> 108.1 18.29      1  39        0         1
#> 171   16.57      1  41        0         1
#> 58    19.34      1  39        0         0
#> 92    22.92      1  47        0         1
#> 123.3 13.00      1  44        1         0
#> 55.1  19.34      1  69        0         1
#> 29    15.45      1  68        1         0
#> 117   17.46      1  26        0         1
#> 158   20.14      1  74        1         0
#> 4.3   17.64      1  NA        0         1
#> 167   15.55      1  56        1         0
#> 149    8.37      1  33        1         0
#> 88    18.37      1  47        0         0
#> 40    18.00      1  28        1         0
#> 45    17.42      1  54        0         1
#> 108.2 18.29      1  39        0         1
#> 89    11.44      1  NA        0         0
#> 194.2 22.40      1  38        0         1
#> 181   16.46      1  45        0         1
#> 55.2  19.34      1  69        0         1
#> 59    10.16      1  NA        1         0
#> 57.2  14.46      1  45        0         1
#> 89.1  11.44      1  NA        0         0
#> 111.2 17.45      1  47        0         1
#> 197   21.60      1  69        1         0
#> 30    17.43      1  78        0         0
#> 15    22.68      1  48        0         0
#> 114.1 13.68      1  NA        0         0
#> 76    19.22      1  54        0         1
#> 190   20.81      1  42        1         0
#> 179   18.63      1  42        0         0
#> 96    14.54      1  33        0         1
#> 108.3 18.29      1  39        0         1
#> 77     7.27      1  67        0         1
#> 149.1  8.37      1  33        1         0
#> 134.2 17.81      1  47        1         0
#> 91     5.33      1  61        0         1
#> 86    23.81      1  58        0         1
#> 36.1  21.19      1  48        0         1
#> 187.1  9.92      1  39        1         0
#> 194.3 22.40      1  38        0         1
#> 60    13.15      1  38        1         0
#> 5     16.43      1  51        0         1
#> 110   17.56      1  65        0         1
#> 164.1 23.60      1  76        0         1
#> 29.1  15.45      1  68        1         0
#> 157   15.10      1  47        0         0
#> 188   16.16      1  46        0         1
#> 60.1  13.15      1  38        1         0
#> 195.1 11.76      1  NA        1         0
#> 37    12.52      1  57        1         0
#> 8.2   18.43      1  32        0         0
#> 41    18.02      1  40        1         0
#> 167.1 15.55      1  56        1         0
#> 190.1 20.81      1  42        1         0
#> 70     7.38      1  30        1         0
#> 90    20.94      1  50        0         1
#> 180.1 14.82      1  37        0         0
#> 158.1 20.14      1  74        1         0
#> 190.2 20.81      1  42        1         0
#> 97    19.14      1  65        0         1
#> 141   24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 109   24.00      0  48        0         0
#> 22    24.00      0  52        1         0
#> 80    24.00      0  41        0         0
#> 156   24.00      0  50        1         0
#> 135   24.00      0  58        1         0
#> 19    24.00      0  57        0         1
#> 173   24.00      0  19        0         1
#> 176   24.00      0  43        0         1
#> 112   24.00      0  61        0         0
#> 200   24.00      0  64        0         0
#> 9     24.00      0  31        1         0
#> 12    24.00      0  63        0         0
#> 102   24.00      0  49        0         0
#> 186   24.00      0  45        1         0
#> 48    24.00      0  31        1         0
#> 44    24.00      0  56        0         0
#> 82    24.00      0  34        0         0
#> 72    24.00      0  40        0         1
#> 115   24.00      0  NA        1         0
#> 104   24.00      0  50        1         0
#> 165   24.00      0  47        0         0
#> 71    24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 17.1  24.00      0  38        0         1
#> 135.1 24.00      0  58        1         0
#> 27    24.00      0  63        1         0
#> 87    24.00      0  27        0         0
#> 19.1  24.00      0  57        0         1
#> 132   24.00      0  55        0         0
#> 176.1 24.00      0  43        0         1
#> 27.1  24.00      0  63        1         0
#> 176.2 24.00      0  43        0         1
#> 137   24.00      0  45        1         0
#> 131   24.00      0  66        0         0
#> 144   24.00      0  28        0         1
#> 54    24.00      0  53        1         0
#> 198   24.00      0  66        0         1
#> 72.1  24.00      0  40        0         1
#> 160   24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 121   24.00      0  57        1         0
#> 73    24.00      0  NA        0         1
#> 142   24.00      0  53        0         0
#> 174   24.00      0  49        1         0
#> 160.1 24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 163   24.00      0  66        0         0
#> 161   24.00      0  45        0         0
#> 3     24.00      0  31        1         0
#> 162   24.00      0  51        0         0
#> 196   24.00      0  19        0         0
#> 80.1  24.00      0  41        0         0
#> 71.1  24.00      0  51        0         0
#> 19.2  24.00      0  57        0         1
#> 196.1 24.00      0  19        0         0
#> 31.1  24.00      0  36        0         1
#> 80.2  24.00      0  41        0         0
#> 47    24.00      0  38        0         1
#> 173.1 24.00      0  19        0         1
#> 1     24.00      0  23        1         0
#> 12.1  24.00      0  63        0         0
#> 102.1 24.00      0  49        0         0
#> 174.1 24.00      0  49        1         0
#> 12.2  24.00      0  63        0         0
#> 121.1 24.00      0  57        1         0
#> 141.1 24.00      0  44        1         0
#> 196.2 24.00      0  19        0         0
#> 191   24.00      0  60        0         1
#> 98    24.00      0  34        1         0
#> 11    24.00      0  42        0         1
#> 104.1 24.00      0  50        1         0
#> 176.3 24.00      0  43        0         1
#> 64    24.00      0  43        0         0
#> 38    24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 53    24.00      0  32        0         1
#> 121.2 24.00      0  57        1         0
#> 118.1 24.00      0  44        1         0
#> 27.2  24.00      0  63        1         0
#> 142.1 24.00      0  53        0         0
#> 47.1  24.00      0  38        0         1
#> 143   24.00      0  51        0         0
#> 200.1 24.00      0  64        0         0
#> 1.1   24.00      0  23        1         0
#> 137.1 24.00      0  45        1         0
#> 116   24.00      0  58        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.12          NA        NA      NA
#> 2 age, Cure model           0.0129        NA        NA      NA
#> 3 grade_ii, Cure model      0.701         NA        NA      NA
#> 4 grade_iii, Cure model     1.09          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00754        NA        NA      NA
#> 2 grade_ii, Survival model   0.366          NA        NA      NA
#> 3 grade_iii, Survival model -0.327          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.11989           0.01288           0.70068           1.08528  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.8 
#> Residual Deviance: 247.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.11989113       0.01287543       0.70068157       1.08528374 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.007538107      0.366345391     -0.326558436 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.2791355640 0.8919552647 0.7354049090 0.8125495981 0.5220555018
#>   [6] 0.4979597642 0.8654948265 0.6449570905 0.8389736111 0.8919552647
#>  [11] 0.4159149263 0.5828636672 0.0517508014 0.0152837919 0.2406073781
#>  [16] 0.6449570905 0.1449781053 0.1371597024 0.4626434391 0.0327601560
#>  [21] 0.0453091624 0.0730987493 0.3102496756 0.2040196891 0.3612082817
#>  [26] 0.3102496756 0.6075674753 0.2040196891 0.7863545076 0.6831455503
#>  [31] 0.8125495981 0.0008927680 0.4389700440 0.8389736111 0.0730987493
#>  [36] 0.7354049090 0.3612082817 0.4626434391 0.0042618101 0.1076884671
#>  [41] 0.7354049090 0.1076884671 0.6962492582 0.9727673364 0.0152837919
#>  [46] 0.2406073781 0.4273693519 0.1449781053 0.0072606075 0.7354049090
#>  [51] 0.1449781053 0.5584980352 0.3506234394 0.1222684762 0.5342763194
#>  [56] 0.9188770161 0.2310908654 0.2999266161 0.4045756241 0.2406073781
#>  [61] 0.0152837919 0.4507311855 0.1449781053 0.6449570905 0.3612082817
#>  [66] 0.0389617085 0.3933991684 0.0110460456 0.1769525589 0.0873830534
#>  [71] 0.1948399262 0.6323385904 0.2406073781 0.9591801428 0.9188770161
#>  [76] 0.3102496756 0.9863324914 0.0001043736 0.0517508014 0.8654948265
#>  [81] 0.0152837919 0.7094089669 0.4859931291 0.3401670839 0.0008927680
#>  [86] 0.5584980352 0.5951773311 0.5099378964 0.7094089669 0.7994454669
#>  [91] 0.2040196891 0.2895435660 0.5342763194 0.0873830534 0.9457007661
#>  [96] 0.0654296486 0.6075674753 0.1222684762 0.0873830534 0.1857761085
#> [101] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000
#> 
#> $Time
#>    51    16   123   159   100    79   187    57   145  16.1    23    18    36 
#> 18.23  8.71 13.00 10.55 16.07 16.23  9.92 14.46 10.07  8.71 16.92 15.21 21.19 
#>   194   108  57.1    55   105   192   136   139    32   134     8   111 134.1 
#> 22.40 18.29 14.46 19.34 19.75 16.44 21.83 21.49 20.90 17.81 18.43 17.45 17.81 
#>   180   8.1    14    13 159.1   164   130 145.1  32.1 123.1 111.1 192.1    69 
#> 14.82 18.43 12.89 14.34 10.55 23.60 16.47 10.07 20.90 13.00 17.45 16.44 23.23 
#>   150 123.2 150.1    81    25 194.1 108.1   171    58    92 123.3  55.1    29 
#> 20.33 13.00 20.33 14.06  6.32 22.40 18.29 16.57 19.34 22.92 13.00 19.34 15.45 
#>   117   158   167   149    88    40    45 108.2 194.2   181  55.2  57.2 111.2 
#> 17.46 20.14 15.55  8.37 18.37 18.00 17.42 18.29 22.40 16.46 19.34 14.46 17.45 
#>   197    30    15    76   190   179    96 108.3    77 149.1 134.2    91    86 
#> 21.60 17.43 22.68 19.22 20.81 18.63 14.54 18.29  7.27  8.37 17.81  5.33 23.81 
#>  36.1 187.1 194.3    60     5   110 164.1  29.1   157   188  60.1    37   8.2 
#> 21.19  9.92 22.40 13.15 16.43 17.56 23.60 15.45 15.10 16.16 13.15 12.52 18.43 
#>    41 167.1 190.1    70    90 180.1 158.1 190.2    97   141    31   109    22 
#> 18.02 15.55 20.81  7.38 20.94 14.82 20.14 20.81 19.14 24.00 24.00 24.00 24.00 
#>    80   156   135    19   173   176   112   200     9    12   102   186    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44    82    72   104   165    71    17  17.1 135.1    27    87  19.1   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 176.1  27.1 176.2   137   131   144    54   198  72.1   160   120   121   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174 160.1    95   163   161     3   162   196  80.1  71.1  19.2 196.1  31.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  80.2    47 173.1     1  12.1 102.1 174.1  12.2 121.1 141.1 196.2   191    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    11 104.1 176.3    64    38   118    53 121.2 118.1  27.2 142.1  47.1   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 200.1   1.1 137.1   116 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[76]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0004352338              0.3830069898              0.1969190478 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              0.18127869             -0.01122036              0.44506364 
#>   grade_iii, Cure model 
#>              1.29846446 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 10    10.53      1  34        0         0
#> 101    9.97      1  10        0         1
#> 76    19.22      1  54        0         1
#> 63    22.77      1  31        1         0
#> 30    17.43      1  78        0         0
#> 99    21.19      1  38        0         1
#> 93    10.33      1  52        0         1
#> 78    23.88      1  43        0         0
#> 183    9.24      1  67        1         0
#> 51    18.23      1  83        0         1
#> 40    18.00      1  28        1         0
#> 114   13.68      1  NA        0         0
#> 97    19.14      1  65        0         1
#> 81    14.06      1  34        0         0
#> 181   16.46      1  45        0         1
#> 150   20.33      1  48        0         0
#> 134   17.81      1  47        1         0
#> 97.1  19.14      1  65        0         1
#> 157   15.10      1  47        0         0
#> 195   11.76      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 110   17.56      1  65        0         1
#> 154   12.63      1  20        1         0
#> 25     6.32      1  34        1         0
#> 85    16.44      1  36        0         0
#> 188   16.16      1  46        0         1
#> 153   21.33      1  55        1         0
#> 81.1  14.06      1  34        0         0
#> 81.2  14.06      1  34        0         0
#> 187    9.92      1  39        1         0
#> 40.1  18.00      1  28        1         0
#> 15    22.68      1  48        0         0
#> 149    8.37      1  33        1         0
#> 181.1 16.46      1  45        0         1
#> 79    16.23      1  54        1         0
#> 40.2  18.00      1  28        1         0
#> 52    10.42      1  52        0         1
#> 164   23.60      1  76        0         1
#> 130   16.47      1  53        0         1
#> 90    20.94      1  50        0         1
#> 124    9.73      1  NA        1         0
#> 123   13.00      1  44        1         0
#> 107   11.18      1  54        1         0
#> 93.1  10.33      1  52        0         1
#> 149.1  8.37      1  33        1         0
#> 136   21.83      1  43        0         1
#> 159   10.55      1  50        0         1
#> 43    12.10      1  61        0         1
#> 76.1  19.22      1  54        0         1
#> 134.1 17.81      1  47        1         0
#> 124.1  9.73      1  NA        1         0
#> 68    20.62      1  44        0         0
#> 68.1  20.62      1  44        0         0
#> 123.1 13.00      1  44        1         0
#> 63.1  22.77      1  31        1         0
#> 85.1  16.44      1  36        0         0
#> 145   10.07      1  65        1         0
#> 4     17.64      1  NA        0         1
#> 10.1  10.53      1  34        0         0
#> 134.2 17.81      1  47        1         0
#> 41    18.02      1  40        1         0
#> 92    22.92      1  47        0         1
#> 79.1  16.23      1  54        1         0
#> 5     16.43      1  51        0         1
#> 99.1  21.19      1  38        0         1
#> 63.2  22.77      1  31        1         0
#> 81.3  14.06      1  34        0         0
#> 97.2  19.14      1  65        0         1
#> 89    11.44      1  NA        0         0
#> 32    20.90      1  37        1         0
#> 130.1 16.47      1  53        0         1
#> 45    17.42      1  54        0         1
#> 111   17.45      1  47        0         1
#> 24    23.89      1  38        0         0
#> 181.2 16.46      1  45        0         1
#> 16     8.71      1  71        0         1
#> 101.1  9.97      1  10        0         1
#> 61    10.12      1  36        0         1
#> 6     15.64      1  39        0         0
#> 69.1  23.23      1  25        0         1
#> 51.1  18.23      1  83        0         1
#> 18    15.21      1  49        1         0
#> 105   19.75      1  60        0         0
#> 45.1  17.42      1  54        0         1
#> 197   21.60      1  69        1         0
#> 14    12.89      1  21        0         0
#> 69.2  23.23      1  25        0         1
#> 145.1 10.07      1  65        1         0
#> 23    16.92      1  61        0         0
#> 171   16.57      1  41        0         1
#> 29    15.45      1  68        1         0
#> 197.1 21.60      1  69        1         0
#> 130.2 16.47      1  53        0         1
#> 169   22.41      1  46        0         0
#> 59    10.16      1  NA        1         0
#> 149.2  8.37      1  33        1         0
#> 36    21.19      1  48        0         1
#> 175   21.91      1  43        0         0
#> 89.1  11.44      1  NA        0         0
#> 197.2 21.60      1  69        1         0
#> 192   16.44      1  31        1         0
#> 56    12.21      1  60        0         0
#> 117   17.46      1  26        0         1
#> 101.2  9.97      1  10        0         1
#> 194   22.40      1  38        0         1
#> 81.4  14.06      1  34        0         0
#> 63.3  22.77      1  31        1         0
#> 123.2 13.00      1  44        1         0
#> 57    14.46      1  45        0         1
#> 37    12.52      1  57        1         0
#> 190   20.81      1  42        1         0
#> 168   23.72      1  70        0         0
#> 185   24.00      0  44        1         0
#> 20    24.00      0  46        1         0
#> 2     24.00      0   9        0         0
#> 148   24.00      0  61        1         0
#> 38    24.00      0  31        1         0
#> 35    24.00      0  51        0         0
#> 35.1  24.00      0  51        0         0
#> 65    24.00      0  57        1         0
#> 131   24.00      0  66        0         0
#> 142   24.00      0  53        0         0
#> 75    24.00      0  21        1         0
#> 143   24.00      0  51        0         0
#> 115   24.00      0  NA        1         0
#> 162   24.00      0  51        0         0
#> 144   24.00      0  28        0         1
#> 120   24.00      0  68        0         1
#> 160   24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 62    24.00      0  71        0         0
#> 141   24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 116   24.00      0  58        0         1
#> 87    24.00      0  27        0         0
#> 9     24.00      0  31        1         0
#> 191.1 24.00      0  60        0         1
#> 163   24.00      0  66        0         0
#> 72    24.00      0  40        0         1
#> 9.1   24.00      0  31        1         0
#> 82    24.00      0  34        0         0
#> 176   24.00      0  43        0         1
#> 116.1 24.00      0  58        0         1
#> 73    24.00      0  NA        0         1
#> 182   24.00      0  35        0         0
#> 146   24.00      0  63        1         0
#> 182.1 24.00      0  35        0         0
#> 71    24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 122   24.00      0  66        0         0
#> 73.1  24.00      0  NA        0         1
#> 82.1  24.00      0  34        0         0
#> 22    24.00      0  52        1         0
#> 172   24.00      0  41        0         0
#> 98    24.00      0  34        1         0
#> 132   24.00      0  55        0         0
#> 71.1  24.00      0  51        0         0
#> 121   24.00      0  57        1         0
#> 47    24.00      0  38        0         1
#> 19.1  24.00      0  57        0         1
#> 160.1 24.00      0  31        1         0
#> 112   24.00      0  61        0         0
#> 112.1 24.00      0  61        0         0
#> 122.1 24.00      0  66        0         0
#> 27    24.00      0  63        1         0
#> 182.2 24.00      0  35        0         0
#> 38.1  24.00      0  31        1         0
#> 102   24.00      0  49        0         0
#> 47.1  24.00      0  38        0         1
#> 20.1  24.00      0  46        1         0
#> 143.1 24.00      0  51        0         0
#> 80    24.00      0  41        0         0
#> 73.2  24.00      0  NA        0         1
#> 98.1  24.00      0  34        1         0
#> 28    24.00      0  67        1         0
#> 160.2 24.00      0  31        1         0
#> 173   24.00      0  19        0         1
#> 109   24.00      0  48        0         0
#> 152   24.00      0  36        0         1
#> 185.1 24.00      0  44        1         0
#> 121.1 24.00      0  57        1         0
#> 142.1 24.00      0  53        0         0
#> 2.1   24.00      0   9        0         0
#> 103   24.00      0  56        1         0
#> 196   24.00      0  19        0         0
#> 200   24.00      0  64        0         0
#> 148.1 24.00      0  61        1         0
#> 135   24.00      0  58        1         0
#> 1     24.00      0  23        1         0
#> 143.2 24.00      0  51        0         0
#> 54    24.00      0  53        1         0
#> 112.2 24.00      0  61        0         0
#> 178   24.00      0  52        1         0
#> 198   24.00      0  66        0         1
#> 9.2   24.00      0  31        1         0
#> 146.1 24.00      0  63        1         0
#> 163.1 24.00      0  66        0         0
#> 95.1  24.00      0  68        0         1
#> 103.1 24.00      0  56        1         0
#> 21    24.00      0  47        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model   0.181         NA        NA      NA
#> 2 age, Cure model          -0.0112        NA        NA      NA
#> 3 grade_ii, Cure model      0.445         NA        NA      NA
#> 4 grade_iii, Cure model     1.30          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000435        NA        NA      NA
#> 2 grade_ii, Survival model   0.383           NA        NA      NA
#> 3 grade_iii, Survival model  0.197           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          0.18128          -0.01122           0.44506           1.29846  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    258.5 
#> Residual Deviance: 245.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.18127869      -0.01122036       0.44506364       1.29846446 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0004352338     0.3830069898     0.1969190478 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.856646729 0.921287020 0.377562711 0.135602295 0.535124034 0.277721682
#>   [7] 0.881028696 0.027566709 0.953020119 0.425590046 0.454225586 0.397070685
#>  [13] 0.733346019 0.605510671 0.357605346 0.481532192 0.397070685 0.716493635
#>  [19] 0.082214935 0.508179038 0.807420677 0.992193063 0.631292727 0.682541136
#>  [25] 0.267140368 0.733346019 0.733346019 0.945058624 0.454225586 0.177984153
#>  [31] 0.968875027 0.605510671 0.665567375 0.454225586 0.872885621 0.064470642
#>  [37] 0.579514043 0.307630782 0.774509013 0.840319680 0.881028696 0.968875027
#>  [43] 0.224635111 0.848490722 0.832114120 0.377562711 0.481532192 0.337944445
#>  [49] 0.337944445 0.774509013 0.135602295 0.631292727 0.905282287 0.856646729
#>  [55] 0.481532192 0.444671638 0.121220601 0.665567375 0.656929783 0.277721682
#>  [61] 0.135602295 0.733346019 0.397070685 0.317876544 0.579514043 0.544080411
#>  [67] 0.526172660 0.009973509 0.605510671 0.960953478 0.921287020 0.897183000
#>  [73] 0.691060820 0.082214935 0.425590046 0.708059953 0.367580529 0.544080411
#>  [79] 0.236128065 0.799127866 0.082214935 0.905282287 0.561736622 0.570638907
#>  [85] 0.699582274 0.236128065 0.579514043 0.189699620 0.968875027 0.277721682
#>  [91] 0.213026456 0.236128065 0.631292727 0.823893504 0.517191806 0.921287020
#>  [97] 0.201429671 0.733346019 0.135602295 0.774509013 0.724929328 0.815675003
#> [103] 0.327978027 0.045855730 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000
#> 
#> $Time
#>    10   101    76    63    30    99    93    78   183    51    40    97    81 
#> 10.53  9.97 19.22 22.77 17.43 21.19 10.33 23.88  9.24 18.23 18.00 19.14 14.06 
#>   181   150   134  97.1   157    69   110   154    25    85   188   153  81.1 
#> 16.46 20.33 17.81 19.14 15.10 23.23 17.56 12.63  6.32 16.44 16.16 21.33 14.06 
#>  81.2   187  40.1    15   149 181.1    79  40.2    52   164   130    90   123 
#> 14.06  9.92 18.00 22.68  8.37 16.46 16.23 18.00 10.42 23.60 16.47 20.94 13.00 
#>   107  93.1 149.1   136   159    43  76.1 134.1    68  68.1 123.1  63.1  85.1 
#> 11.18 10.33  8.37 21.83 10.55 12.10 19.22 17.81 20.62 20.62 13.00 22.77 16.44 
#>   145  10.1 134.2    41    92  79.1     5  99.1  63.2  81.3  97.2    32 130.1 
#> 10.07 10.53 17.81 18.02 22.92 16.23 16.43 21.19 22.77 14.06 19.14 20.90 16.47 
#>    45   111    24 181.2    16 101.1    61     6  69.1  51.1    18   105  45.1 
#> 17.42 17.45 23.89 16.46  8.71  9.97 10.12 15.64 23.23 18.23 15.21 19.75 17.42 
#>   197    14  69.2 145.1    23   171    29 197.1 130.2   169 149.2    36   175 
#> 21.60 12.89 23.23 10.07 16.92 16.57 15.45 21.60 16.47 22.41  8.37 21.19 21.91 
#> 197.2   192    56   117 101.2   194  81.4  63.3 123.2    57    37   190   168 
#> 21.60 16.44 12.21 17.46  9.97 22.40 14.06 22.77 13.00 14.46 12.52 20.81 23.72 
#>   185    20     2   148    38    35  35.1    65   131   142    75   143   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144   120   160   191    62   141    95   116    87     9 191.1   163    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.1    82   176 116.1   182   146 182.1    71    19   122  82.1    22   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98   132  71.1   121    47  19.1 160.1   112 112.1 122.1    27 182.2  38.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102  47.1  20.1 143.1    80  98.1    28 160.2   173   109   152 185.1 121.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 142.1   2.1   103   196   200 148.1   135     1 143.2    54 112.2   178   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.2 146.1 163.1  95.1 103.1    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[77]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.02873545                0.89922629                0.35124602 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.562557938            -0.007729407            -0.399264127 
#>   grade_iii, Cure model 
#>             0.184556447 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 79    16.23      1  54        1         0
#> 166   19.98      1  48        0         0
#> 108   18.29      1  39        0         1
#> 153   21.33      1  55        1         0
#> 4     17.64      1  NA        0         1
#> 89    11.44      1  NA        0         0
#> 61    10.12      1  36        0         1
#> 51    18.23      1  83        0         1
#> 10    10.53      1  34        0         0
#> 164   23.60      1  76        0         1
#> 175   21.91      1  43        0         0
#> 99    21.19      1  38        0         1
#> 4.1   17.64      1  NA        0         1
#> 39    15.59      1  37        0         1
#> 68    20.62      1  44        0         0
#> 29    15.45      1  68        1         0
#> 150   20.33      1  48        0         0
#> 49    12.19      1  48        1         0
#> 199   19.81      1  NA        0         1
#> 167   15.55      1  56        1         0
#> 14    12.89      1  21        0         0
#> 86    23.81      1  58        0         1
#> 37    12.52      1  57        1         0
#> 189   10.51      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 150.1 20.33      1  48        0         0
#> 187    9.92      1  39        1         0
#> 179   18.63      1  42        0         0
#> 133   14.65      1  57        0         0
#> 59    10.16      1  NA        1         0
#> 101    9.97      1  10        0         1
#> 187.1  9.92      1  39        1         0
#> 6     15.64      1  39        0         0
#> 129   23.41      1  53        1         0
#> 78    23.88      1  43        0         0
#> 70     7.38      1  30        1         0
#> 192   16.44      1  31        1         0
#> 175.1 21.91      1  43        0         0
#> 15    22.68      1  48        0         0
#> 10.1  10.53      1  34        0         0
#> 6.1   15.64      1  39        0         0
#> 190   20.81      1  42        1         0
#> 175.2 21.91      1  43        0         0
#> 26    15.77      1  49        0         1
#> 58    19.34      1  39        0         0
#> 170   19.54      1  43        0         1
#> 125   15.65      1  67        1         0
#> 89.1  11.44      1  NA        0         0
#> 181   16.46      1  45        0         1
#> 76    19.22      1  54        0         1
#> 170.1 19.54      1  43        0         1
#> 8     18.43      1  32        0         0
#> 6.2   15.64      1  39        0         0
#> 23    16.92      1  61        0         0
#> 114   13.68      1  NA        0         0
#> 26.1  15.77      1  49        0         1
#> 134   17.81      1  47        1         0
#> 187.2  9.92      1  39        1         0
#> 145   10.07      1  65        1         0
#> 136   21.83      1  43        0         1
#> 6.3   15.64      1  39        0         0
#> 5     16.43      1  51        0         1
#> 25     6.32      1  34        1         0
#> 60    13.15      1  38        1         0
#> 8.1   18.43      1  32        0         0
#> 89.2  11.44      1  NA        0         0
#> 88    18.37      1  47        0         0
#> 184   17.77      1  38        0         0
#> 36    21.19      1  48        0         1
#> 93    10.33      1  52        0         1
#> 99.1  21.19      1  38        0         1
#> 92    22.92      1  47        0         1
#> 129.1 23.41      1  53        1         0
#> 195   11.76      1  NA        1         0
#> 24    23.89      1  38        0         0
#> 58.1  19.34      1  39        0         0
#> 114.1 13.68      1  NA        0         0
#> 188   16.16      1  46        0         1
#> 114.2 13.68      1  NA        0         0
#> 78.1  23.88      1  43        0         0
#> 181.1 16.46      1  45        0         1
#> 18    15.21      1  49        1         0
#> 30    17.43      1  78        0         0
#> 99.2  21.19      1  38        0         1
#> 39.1  15.59      1  37        0         1
#> 25.1   6.32      1  34        1         0
#> 25.2   6.32      1  34        1         0
#> 140   12.68      1  59        1         0
#> 42    12.43      1  49        0         1
#> 90    20.94      1  50        0         1
#> 101.1  9.97      1  10        0         1
#> 110   17.56      1  65        0         1
#> 159   10.55      1  50        0         1
#> 86.1  23.81      1  58        0         1
#> 187.3  9.92      1  39        1         0
#> 158   20.14      1  74        1         0
#> 68.1  20.62      1  44        0         0
#> 85    16.44      1  36        0         0
#> 23.1  16.92      1  61        0         0
#> 180   14.82      1  37        0         0
#> 153.1 21.33      1  55        1         0
#> 23.2  16.92      1  61        0         0
#> 32    20.90      1  37        1         0
#> 101.2  9.97      1  10        0         1
#> 59.1  10.16      1  NA        1         0
#> 175.3 21.91      1  43        0         0
#> 88.1  18.37      1  47        0         0
#> 55    19.34      1  69        0         1
#> 29.1  15.45      1  68        1         0
#> 26.2  15.77      1  49        0         1
#> 89.3  11.44      1  NA        0         0
#> 36.1  21.19      1  48        0         1
#> 64    24.00      0  43        0         0
#> 7     24.00      0  37        1         0
#> 185   24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 160   24.00      0  31        1         0
#> 165   24.00      0  47        0         0
#> 33    24.00      0  53        0         0
#> 72    24.00      0  40        0         1
#> 172   24.00      0  41        0         0
#> 21    24.00      0  47        0         0
#> 163   24.00      0  66        0         0
#> 193   24.00      0  45        0         1
#> 104   24.00      0  50        1         0
#> 143   24.00      0  51        0         0
#> 75    24.00      0  21        1         0
#> 103   24.00      0  56        1         0
#> 74    24.00      0  43        0         1
#> 165.1 24.00      0  47        0         0
#> 7.1   24.00      0  37        1         0
#> 173   24.00      0  19        0         1
#> 11    24.00      0  42        0         1
#> 186   24.00      0  45        1         0
#> 95    24.00      0  68        0         1
#> 193.1 24.00      0  45        0         1
#> 83    24.00      0   6        0         0
#> 54    24.00      0  53        1         0
#> 138   24.00      0  44        1         0
#> 172.1 24.00      0  41        0         0
#> 71    24.00      0  51        0         0
#> 62    24.00      0  71        0         0
#> 28    24.00      0  67        1         0
#> 151   24.00      0  42        0         0
#> 71.1  24.00      0  51        0         0
#> 141   24.00      0  44        1         0
#> 193.2 24.00      0  45        0         1
#> 172.2 24.00      0  41        0         0
#> 27    24.00      0  63        1         0
#> 72.1  24.00      0  40        0         1
#> 147   24.00      0  76        1         0
#> 151.1 24.00      0  42        0         0
#> 193.3 24.00      0  45        0         1
#> 172.3 24.00      0  41        0         0
#> 103.1 24.00      0  56        1         0
#> 94    24.00      0  51        0         1
#> 75.1  24.00      0  21        1         0
#> 112   24.00      0  61        0         0
#> 116   24.00      0  58        0         1
#> 121   24.00      0  57        1         0
#> 28.1  24.00      0  67        1         0
#> 193.4 24.00      0  45        0         1
#> 126   24.00      0  48        0         0
#> 182   24.00      0  35        0         0
#> 193.5 24.00      0  45        0         1
#> 191   24.00      0  60        0         1
#> 120   24.00      0  68        0         1
#> 65    24.00      0  57        1         0
#> 146   24.00      0  63        1         0
#> 54.1  24.00      0  53        1         0
#> 9     24.00      0  31        1         0
#> 193.6 24.00      0  45        0         1
#> 121.1 24.00      0  57        1         0
#> 71.2  24.00      0  51        0         0
#> 71.3  24.00      0  51        0         0
#> 80    24.00      0  41        0         0
#> 17    24.00      0  38        0         1
#> 103.2 24.00      0  56        1         0
#> 11.1  24.00      0  42        0         1
#> 146.1 24.00      0  63        1         0
#> 83.1  24.00      0   6        0         0
#> 62.1  24.00      0  71        0         0
#> 182.1 24.00      0  35        0         0
#> 62.2  24.00      0  71        0         0
#> 191.1 24.00      0  60        0         1
#> 73    24.00      0  NA        0         1
#> 186.1 24.00      0  45        1         0
#> 121.2 24.00      0  57        1         0
#> 7.2   24.00      0  37        1         0
#> 28.2  24.00      0  67        1         0
#> 148.1 24.00      0  61        1         0
#> 87    24.00      0  27        0         0
#> 72.2  24.00      0  40        0         1
#> 178   24.00      0  52        1         0
#> 148.2 24.00      0  61        1         0
#> 141.1 24.00      0  44        1         0
#> 103.3 24.00      0  56        1         0
#> 31    24.00      0  36        0         1
#> 31.1  24.00      0  36        0         1
#> 151.2 24.00      0  42        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.563          NA        NA      NA
#> 2 age, Cure model         -0.00773        NA        NA      NA
#> 3 grade_ii, Cure model    -0.399          NA        NA      NA
#> 4 grade_iii, Cure model    0.185          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0287        NA        NA      NA
#> 2 grade_ii, Survival model    0.899         NA        NA      NA
#> 3 grade_iii, Survival model   0.351         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.562558         -0.007729         -0.399264          0.184556  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    255.8 
#> Residual Deviance: 252.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.562557938     -0.007729407     -0.399264127      0.184556447 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.02873545       0.89922629       0.35124602 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 2.287106e-01 4.239220e-02 1.030921e-01 7.372110e-03 7.102160e-01
#>   [6] 1.099051e-01 6.458990e-01 3.338840e-04 2.453603e-03 1.035112e-02
#>  [11] 3.738059e-01 2.676972e-02 4.215191e-01 3.237197e-02 6.050015e-01
#>  [16] 4.051853e-01 5.274722e-01 8.434344e-05 5.654914e-01 2.518462e-01
#>  [21] 3.237197e-02 8.211078e-01 7.332776e-02 4.905330e-01 7.552793e-01
#>  [26] 8.211078e-01 3.160443e-01 6.205034e-04 9.521574e-06 9.095443e-01
#>  [31] 1.965955e-01 2.453603e-03 1.813060e-03 6.458990e-01 3.160443e-01
#>  [36] 2.421259e-02 2.453603e-03 2.640546e-01 5.430770e-02 4.621797e-02
#>  [41] 3.023209e-01 1.762996e-01 6.811034e-02 4.621797e-02 7.881908e-02
#>  [46] 3.160443e-01 1.486342e-01 2.640546e-01 1.171062e-01 8.211078e-01
#>  [51] 7.325327e-01 6.006392e-03 3.160443e-01 2.175817e-01 9.324866e-01
#>  [56] 5.089438e-01 7.881908e-02 9.035284e-02 1.244718e-01 1.035112e-02
#>  [61] 6.882411e-01 1.035112e-02 1.306734e-03 6.205034e-04 4.835934e-07
#>  [66] 5.430770e-02 2.401053e-01 9.521574e-06 1.762996e-01 4.552237e-01
#>  [71] 1.401699e-01 1.035112e-02 3.738059e-01 9.324866e-01 9.324866e-01
#>  [76] 5.463002e-01 5.850289e-01 1.928042e-02 7.552793e-01 1.321390e-01
#>  [81] 6.252288e-01 8.434344e-05 8.211078e-01 3.880848e-02 2.676972e-02
#>  [86] 1.965955e-01 1.486342e-01 4.726625e-01 7.372110e-03 1.486342e-01
#>  [91] 2.172521e-02 7.552793e-01 2.453603e-03 9.035284e-02 5.430770e-02
#>  [96] 4.215191e-01 2.640546e-01 1.035112e-02 0.000000e+00 0.000000e+00
#> [101] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>    79   166   108   153    61    51    10   164   175    99    39    68    29 
#> 16.23 19.98 18.29 21.33 10.12 18.23 10.53 23.60 21.91 21.19 15.59 20.62 15.45 
#>   150    49   167    14    86    37   100 150.1   187   179   133   101 187.1 
#> 20.33 12.19 15.55 12.89 23.81 12.52 16.07 20.33  9.92 18.63 14.65  9.97  9.92 
#>     6   129    78    70   192 175.1    15  10.1   6.1   190 175.2    26    58 
#> 15.64 23.41 23.88  7.38 16.44 21.91 22.68 10.53 15.64 20.81 21.91 15.77 19.34 
#>   170   125   181    76 170.1     8   6.2    23  26.1   134 187.2   145   136 
#> 19.54 15.65 16.46 19.22 19.54 18.43 15.64 16.92 15.77 17.81  9.92 10.07 21.83 
#>   6.3     5    25    60   8.1    88   184    36    93  99.1    92 129.1    24 
#> 15.64 16.43  6.32 13.15 18.43 18.37 17.77 21.19 10.33 21.19 22.92 23.41 23.89 
#>  58.1   188  78.1 181.1    18    30  99.2  39.1  25.1  25.2   140    42    90 
#> 19.34 16.16 23.88 16.46 15.21 17.43 21.19 15.59  6.32  6.32 12.68 12.43 20.94 
#> 101.1   110   159  86.1 187.3   158  68.1    85  23.1   180 153.1  23.2    32 
#>  9.97 17.56 10.55 23.81  9.92 20.14 20.62 16.44 16.92 14.82 21.33 16.92 20.90 
#> 101.2 175.3  88.1    55  29.1  26.2  36.1    64     7   185   148   160   165 
#>  9.97 21.91 18.37 19.34 15.45 15.77 21.19 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33    72   172    21   163   193   104   143    75   103    74 165.1   7.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   173    11   186    95 193.1    83    54   138 172.1    71    62    28   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  71.1   141 193.2 172.2    27  72.1   147 151.1 193.3 172.3 103.1    94  75.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112   116   121  28.1 193.4   126   182 193.5   191   120    65   146  54.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9 193.6 121.1  71.2  71.3    80    17 103.2  11.1 146.1  83.1  62.1 182.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  62.2 191.1 186.1 121.2   7.2  28.2 148.1    87  72.2   178 148.2 141.1 103.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31  31.1 151.2 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[78]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001668541               0.276147082               0.402536201 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.992234882             0.021634953            -0.005310466 
#>   grade_iii, Cure model 
#>             0.743558525 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 63    22.77      1  31        1         0
#> 139   21.49      1  63        1         0
#> 184   17.77      1  38        0         0
#> 129   23.41      1  53        1         0
#> 85    16.44      1  36        0         0
#> 50    10.02      1  NA        1         0
#> 88    18.37      1  47        0         0
#> 127    3.53      1  62        0         1
#> 45    17.42      1  54        0         1
#> 158   20.14      1  74        1         0
#> 106   16.67      1  49        1         0
#> 197   21.60      1  69        1         0
#> 15    22.68      1  48        0         0
#> 91     5.33      1  61        0         1
#> 180   14.82      1  37        0         0
#> 199   19.81      1  NA        0         1
#> 134   17.81      1  47        1         0
#> 127.1  3.53      1  62        0         1
#> 55    19.34      1  69        0         1
#> 4     17.64      1  NA        0         1
#> 4.1   17.64      1  NA        0         1
#> 97    19.14      1  65        0         1
#> 8     18.43      1  32        0         0
#> 181   16.46      1  45        0         1
#> 86    23.81      1  58        0         1
#> 150   20.33      1  48        0         0
#> 32    20.90      1  37        1         0
#> 15.1  22.68      1  48        0         0
#> 139.1 21.49      1  63        1         0
#> 199.1 19.81      1  NA        0         1
#> 96    14.54      1  33        0         1
#> 24    23.89      1  38        0         0
#> 55.1  19.34      1  69        0         1
#> 123   13.00      1  44        1         0
#> 113   22.86      1  34        0         0
#> 26    15.77      1  49        0         1
#> 45.1  17.42      1  54        0         1
#> 52    10.42      1  52        0         1
#> 15.2  22.68      1  48        0         0
#> 149    8.37      1  33        1         0
#> 77     7.27      1  67        0         1
#> 37    12.52      1  57        1         0
#> 166   19.98      1  48        0         0
#> 180.1 14.82      1  37        0         0
#> 66    22.13      1  53        0         0
#> 128   20.35      1  35        0         1
#> 145   10.07      1  65        1         0
#> 37.1  12.52      1  57        1         0
#> 90    20.94      1  50        0         1
#> 150.1 20.33      1  48        0         0
#> 108   18.29      1  39        0         1
#> 77.1   7.27      1  67        0         1
#> 78    23.88      1  43        0         0
#> 187    9.92      1  39        1         0
#> 159   10.55      1  50        0         1
#> 18    15.21      1  49        1         0
#> 134.1 17.81      1  47        1         0
#> 158.1 20.14      1  74        1         0
#> 188   16.16      1  46        0         1
#> 93    10.33      1  52        0         1
#> 134.2 17.81      1  47        1         0
#> 91.1   5.33      1  61        0         1
#> 130   16.47      1  53        0         1
#> 36    21.19      1  48        0         1
#> 90.1  20.94      1  50        0         1
#> 90.2  20.94      1  50        0         1
#> 23    16.92      1  61        0         0
#> 18.1  15.21      1  49        1         0
#> 113.1 22.86      1  34        0         0
#> 10    10.53      1  34        0         0
#> 86.1  23.81      1  58        0         1
#> 70     7.38      1  30        1         0
#> 100   16.07      1  60        0         0
#> 56    12.21      1  60        0         0
#> 127.2  3.53      1  62        0         1
#> 184.1 17.77      1  38        0         0
#> 18.2  15.21      1  49        1         0
#> 153   21.33      1  55        1         0
#> 189   10.51      1  NA        1         0
#> 63.1  22.77      1  31        1         0
#> 18.3  15.21      1  49        1         0
#> 107   11.18      1  54        1         0
#> 166.1 19.98      1  48        0         0
#> 167   15.55      1  56        1         0
#> 57    14.46      1  45        0         1
#> 41    18.02      1  40        1         0
#> 89    11.44      1  NA        0         0
#> 100.1 16.07      1  60        0         0
#> 81    14.06      1  34        0         0
#> 179   18.63      1  42        0         0
#> 10.1  10.53      1  34        0         0
#> 155   13.08      1  26        0         0
#> 18.4  15.21      1  49        1         0
#> 183    9.24      1  67        1         0
#> 197.1 21.60      1  69        1         0
#> 129.1 23.41      1  53        1         0
#> 184.2 17.77      1  38        0         0
#> 170   19.54      1  43        0         1
#> 149.1  8.37      1  33        1         0
#> 139.2 21.49      1  63        1         0
#> 100.2 16.07      1  60        0         0
#> 169   22.41      1  46        0         0
#> 199.2 19.81      1  NA        0         1
#> 125   15.65      1  67        1         0
#> 184.3 17.77      1  38        0         0
#> 61    10.12      1  36        0         1
#> 108.1 18.29      1  39        0         1
#> 194   22.40      1  38        0         1
#> 56.1  12.21      1  60        0         0
#> 107.1 11.18      1  54        1         0
#> 123.1 13.00      1  44        1         0
#> 32.1  20.90      1  37        1         0
#> 115   24.00      0  NA        1         0
#> 12    24.00      0  63        0         0
#> 143   24.00      0  51        0         0
#> 174   24.00      0  49        1         0
#> 135   24.00      0  58        1         0
#> 72    24.00      0  40        0         1
#> 82    24.00      0  34        0         0
#> 144   24.00      0  28        0         1
#> 12.1  24.00      0  63        0         0
#> 193   24.00      0  45        0         1
#> 191   24.00      0  60        0         1
#> 104   24.00      0  50        1         0
#> 11    24.00      0  42        0         1
#> 73    24.00      0  NA        0         1
#> 185   24.00      0  44        1         0
#> 173   24.00      0  19        0         1
#> 163   24.00      0  66        0         0
#> 138   24.00      0  44        1         0
#> 83    24.00      0   6        0         0
#> 33    24.00      0  53        0         0
#> 200   24.00      0  64        0         0
#> 28    24.00      0  67        1         0
#> 131   24.00      0  66        0         0
#> 185.1 24.00      0  44        1         0
#> 46    24.00      0  71        0         0
#> 137   24.00      0  45        1         0
#> 182   24.00      0  35        0         0
#> 33.1  24.00      0  53        0         0
#> 176   24.00      0  43        0         1
#> 143.1 24.00      0  51        0         0
#> 103   24.00      0  56        1         0
#> 178   24.00      0  52        1         0
#> 3     24.00      0  31        1         0
#> 22    24.00      0  52        1         0
#> 22.1  24.00      0  52        1         0
#> 196   24.00      0  19        0         0
#> 1     24.00      0  23        1         0
#> 144.1 24.00      0  28        0         1
#> 151   24.00      0  42        0         0
#> 122   24.00      0  66        0         0
#> 163.1 24.00      0  66        0         0
#> 38    24.00      0  31        1         0
#> 27    24.00      0  63        1         0
#> 143.2 24.00      0  51        0         0
#> 73.1  24.00      0  NA        0         1
#> 185.2 24.00      0  44        1         0
#> 11.1  24.00      0  42        0         1
#> 1.1   24.00      0  23        1         0
#> 47    24.00      0  38        0         1
#> 147   24.00      0  76        1         0
#> 44    24.00      0  56        0         0
#> 87    24.00      0  27        0         0
#> 3.1   24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 163.2 24.00      0  66        0         0
#> 73.2  24.00      0  NA        0         1
#> 47.1  24.00      0  38        0         1
#> 19    24.00      0  57        0         1
#> 118   24.00      0  44        1         0
#> 186   24.00      0  45        1         0
#> 137.1 24.00      0  45        1         0
#> 137.2 24.00      0  45        1         0
#> 141   24.00      0  44        1         0
#> 22.2  24.00      0  52        1         0
#> 173.1 24.00      0  19        0         1
#> 34    24.00      0  36        0         0
#> 135.1 24.00      0  58        1         0
#> 48    24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 80    24.00      0  41        0         0
#> 12.2  24.00      0  63        0         0
#> 21    24.00      0  47        0         0
#> 121   24.00      0  57        1         0
#> 148   24.00      0  61        1         0
#> 1.2   24.00      0  23        1         0
#> 19.1  24.00      0  57        0         1
#> 1.3   24.00      0  23        1         0
#> 71.1  24.00      0  51        0         0
#> 148.1 24.00      0  61        1         0
#> 186.1 24.00      0  45        1         0
#> 196.1 24.00      0  19        0         0
#> 80.1  24.00      0  41        0         0
#> 109   24.00      0  48        0         0
#> 87.1  24.00      0  27        0         0
#> 160   24.00      0  31        1         0
#> 54    24.00      0  53        1         0
#> 94    24.00      0  51        0         1
#> 162   24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.992          NA        NA      NA
#> 2 age, Cure model          0.0216         NA        NA      NA
#> 3 grade_ii, Cure model    -0.00531        NA        NA      NA
#> 4 grade_iii, Cure model    0.744          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00167        NA        NA      NA
#> 2 grade_ii, Survival model   0.276          NA        NA      NA
#> 3 grade_iii, Survival model  0.403          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.99223           0.02163          -0.00531           0.74356  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    258.5 
#> Residual Deviance: 250.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.992234882      0.021634953     -0.005310466      0.743558525 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001668541      0.276147082      0.402536201 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.15949749 0.28450675 0.57165579 0.10352039 0.65510660 0.51086428
#>   [7] 0.97937450 0.60517447 0.41818085 0.63026838 0.26098953 0.18557446
#>  [13] 0.96538066 0.75762290 0.54623001 0.97937450 0.46551207 0.48369936
#>  [19] 0.50181930 0.64689295 0.07164937 0.39876675 0.36912124 0.18557446
#>  [25] 0.28450675 0.77307254 0.01756479 0.46551207 0.80379655 0.13167050
#>  [31] 0.69550894 0.60517447 0.88599346 0.18557446 0.92977824 0.95125252
#>  [37] 0.81893278 0.43716229 0.75762290 0.24839814 0.38889812 0.90801812
#>  [43] 0.81893278 0.33922240 0.39876675 0.51989622 0.95125252 0.04490100
#>  [49] 0.91529611 0.86379447 0.71953885 0.54623001 0.41818085 0.66331388
#>  [55] 0.89337220 0.54623001 0.96538066 0.63861495 0.32832943 0.33922240
#>  [61] 0.33922240 0.62187396 0.71953885 0.13167050 0.87122011 0.07164937
#>  [67] 0.94409022 0.67145918 0.83394429 0.97937450 0.57165579 0.71953885
#>  [73] 0.31720763 0.15949749 0.71953885 0.84892741 0.43716229 0.71157009
#>  [79] 0.78079137 0.53744298 0.67145918 0.78846376 0.49276537 0.87122011
#>  [85] 0.79613179 0.71953885 0.92255064 0.26098953 0.10352039 0.57165579
#>  [91] 0.45607538 0.92977824 0.28450675 0.67145918 0.22268121 0.70356124
#>  [97] 0.57165579 0.90071267 0.51989622 0.23574761 0.83394429 0.84892741
#> [103] 0.80379655 0.36912124 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>    63   139   184   129    85    88   127    45   158   106   197    15    91 
#> 22.77 21.49 17.77 23.41 16.44 18.37  3.53 17.42 20.14 16.67 21.60 22.68  5.33 
#>   180   134 127.1    55    97     8   181    86   150    32  15.1 139.1    96 
#> 14.82 17.81  3.53 19.34 19.14 18.43 16.46 23.81 20.33 20.90 22.68 21.49 14.54 
#>    24  55.1   123   113    26  45.1    52  15.2   149    77    37   166 180.1 
#> 23.89 19.34 13.00 22.86 15.77 17.42 10.42 22.68  8.37  7.27 12.52 19.98 14.82 
#>    66   128   145  37.1    90 150.1   108  77.1    78   187   159    18 134.1 
#> 22.13 20.35 10.07 12.52 20.94 20.33 18.29  7.27 23.88  9.92 10.55 15.21 17.81 
#> 158.1   188    93 134.2  91.1   130    36  90.1  90.2    23  18.1 113.1    10 
#> 20.14 16.16 10.33 17.81  5.33 16.47 21.19 20.94 20.94 16.92 15.21 22.86 10.53 
#>  86.1    70   100    56 127.2 184.1  18.2   153  63.1  18.3   107 166.1   167 
#> 23.81  7.38 16.07 12.21  3.53 17.77 15.21 21.33 22.77 15.21 11.18 19.98 15.55 
#>    57    41 100.1    81   179  10.1   155  18.4   183 197.1 129.1 184.2   170 
#> 14.46 18.02 16.07 14.06 18.63 10.53 13.08 15.21  9.24 21.60 23.41 17.77 19.54 
#> 149.1 139.2 100.2   169   125 184.3    61 108.1   194  56.1 107.1 123.1  32.1 
#>  8.37 21.49 16.07 22.41 15.65 17.77 10.12 18.29 22.40 12.21 11.18 13.00 20.90 
#>    12   143   174   135    72    82   144  12.1   193   191   104    11   185 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   173   163   138    83    33   200    28   131 185.1    46   137   182  33.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176 143.1   103   178     3    22  22.1   196     1 144.1   151   122 163.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38    27 143.2 185.2  11.1   1.1    47   147    44    87   3.1    67 163.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  47.1    19   118   186 137.1 137.2   141  22.2 173.1    34 135.1    48    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80  12.2    21   121   148   1.2  19.1   1.3  71.1 148.1 186.1 196.1  80.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   109  87.1   160    54    94   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[79]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.006101184               0.317148976               0.224006023 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.57087320              0.01102233              0.12046813 
#>   grade_iii, Cure model 
#>              0.43348221 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 125   15.65      1  67        1         0
#> 128   20.35      1  35        0         1
#> 89    11.44      1  NA        0         0
#> 43    12.10      1  61        0         1
#> 55    19.34      1  69        0         1
#> 187    9.92      1  39        1         0
#> 23    16.92      1  61        0         0
#> 189   10.51      1  NA        1         0
#> 188   16.16      1  46        0         1
#> 167   15.55      1  56        1         0
#> 60    13.15      1  38        1         0
#> 167.1 15.55      1  56        1         0
#> 136   21.83      1  43        0         1
#> 97    19.14      1  65        0         1
#> 167.2 15.55      1  56        1         0
#> 93    10.33      1  52        0         1
#> 39    15.59      1  37        0         1
#> 56    12.21      1  60        0         0
#> 41    18.02      1  40        1         0
#> 37    12.52      1  57        1         0
#> 8     18.43      1  32        0         0
#> 166   19.98      1  48        0         0
#> 49    12.19      1  48        1         0
#> 113   22.86      1  34        0         0
#> 155   13.08      1  26        0         0
#> 59    10.16      1  NA        1         0
#> 167.3 15.55      1  56        1         0
#> 23.1  16.92      1  61        0         0
#> 29    15.45      1  68        1         0
#> 30    17.43      1  78        0         0
#> 108   18.29      1  39        0         1
#> 88    18.37      1  47        0         0
#> 133   14.65      1  57        0         0
#> 86    23.81      1  58        0         1
#> 101    9.97      1  10        0         1
#> 159   10.55      1  50        0         1
#> 114   13.68      1  NA        0         0
#> 63    22.77      1  31        1         0
#> 124    9.73      1  NA        1         0
#> 184   17.77      1  38        0         0
#> 59.1  10.16      1  NA        1         0
#> 166.1 19.98      1  48        0         0
#> 93.1  10.33      1  52        0         1
#> 23.2  16.92      1  61        0         0
#> 164   23.60      1  76        0         1
#> 16     8.71      1  71        0         1
#> 24    23.89      1  38        0         0
#> 52    10.42      1  52        0         1
#> 149    8.37      1  33        1         0
#> 133.1 14.65      1  57        0         0
#> 50    10.02      1  NA        1         0
#> 181   16.46      1  45        0         1
#> 50.1  10.02      1  NA        1         0
#> 154   12.63      1  20        1         0
#> 50.2  10.02      1  NA        1         0
#> 30.1  17.43      1  78        0         0
#> 110   17.56      1  65        0         1
#> 58    19.34      1  39        0         0
#> 79    16.23      1  54        1         0
#> 140   12.68      1  59        1         0
#> 56.1  12.21      1  60        0         0
#> 23.3  16.92      1  61        0         0
#> 129   23.41      1  53        1         0
#> 190   20.81      1  42        1         0
#> 180   14.82      1  37        0         0
#> 18    15.21      1  49        1         0
#> 139   21.49      1  63        1         0
#> 136.1 21.83      1  43        0         1
#> 51    18.23      1  83        0         1
#> 133.2 14.65      1  57        0         0
#> 150   20.33      1  48        0         0
#> 180.1 14.82      1  37        0         0
#> 153   21.33      1  55        1         0
#> 41.1  18.02      1  40        1         0
#> 59.2  10.16      1  NA        1         0
#> 190.1 20.81      1  42        1         0
#> 41.2  18.02      1  40        1         0
#> 50.3  10.02      1  NA        1         0
#> 169   22.41      1  46        0         0
#> 181.1 16.46      1  45        0         1
#> 108.1 18.29      1  39        0         1
#> 57    14.46      1  45        0         1
#> 49.1  12.19      1  48        1         0
#> 69    23.23      1  25        0         1
#> 57.1  14.46      1  45        0         1
#> 66    22.13      1  53        0         0
#> 134   17.81      1  47        1         0
#> 6     15.64      1  39        0         0
#> 24.1  23.89      1  38        0         0
#> 105   19.75      1  60        0         0
#> 32    20.90      1  37        1         0
#> 68    20.62      1  44        0         0
#> 77     7.27      1  67        0         1
#> 140.1 12.68      1  59        1         0
#> 127    3.53      1  62        0         1
#> 125.1 15.65      1  67        1         0
#> 124.1  9.73      1  NA        1         0
#> 81    14.06      1  34        0         0
#> 16.1   8.71      1  71        0         1
#> 123   13.00      1  44        1         0
#> 101.1  9.97      1  10        0         1
#> 56.2  12.21      1  60        0         0
#> 153.1 21.33      1  55        1         0
#> 195   11.76      1  NA        1         0
#> 134.1 17.81      1  47        1         0
#> 8.1   18.43      1  32        0         0
#> 50.4  10.02      1  NA        1         0
#> 40    18.00      1  28        1         0
#> 90    20.94      1  50        0         1
#> 39.1  15.59      1  37        0         1
#> 18.1  15.21      1  49        1         0
#> 8.2   18.43      1  32        0         0
#> 147   24.00      0  76        1         0
#> 9     24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 64    24.00      0  43        0         0
#> 142   24.00      0  53        0         0
#> 104   24.00      0  50        1         0
#> 182   24.00      0  35        0         0
#> 146   24.00      0  63        1         0
#> 67    24.00      0  25        0         0
#> 141   24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 118   24.00      0  44        1         0
#> 142.1 24.00      0  53        0         0
#> 7     24.00      0  37        1         0
#> 94    24.00      0  51        0         1
#> 138   24.00      0  44        1         0
#> 174   24.00      0  49        1         0
#> 109   24.00      0  48        0         0
#> 173   24.00      0  19        0         1
#> 35    24.00      0  51        0         0
#> 27.1  24.00      0  63        1         0
#> 131   24.00      0  66        0         0
#> 87    24.00      0  27        0         0
#> 116   24.00      0  58        0         1
#> 17    24.00      0  38        0         1
#> 186   24.00      0  45        1         0
#> 64.1  24.00      0  43        0         0
#> 121   24.00      0  57        1         0
#> 161   24.00      0  45        0         0
#> 2     24.00      0   9        0         0
#> 142.2 24.00      0  53        0         0
#> 161.1 24.00      0  45        0         0
#> 73    24.00      0  NA        0         1
#> 47    24.00      0  38        0         1
#> 161.2 24.00      0  45        0         0
#> 22    24.00      0  52        1         0
#> 147.1 24.00      0  76        1         0
#> 186.1 24.00      0  45        1         0
#> 65    24.00      0  57        1         0
#> 22.1  24.00      0  52        1         0
#> 193   24.00      0  45        0         1
#> 103   24.00      0  56        1         0
#> 7.1   24.00      0  37        1         0
#> 126   24.00      0  48        0         0
#> 7.2   24.00      0  37        1         0
#> 148   24.00      0  61        1         0
#> 95    24.00      0  68        0         1
#> 62    24.00      0  71        0         0
#> 119   24.00      0  17        0         0
#> 152   24.00      0  36        0         1
#> 102   24.00      0  49        0         0
#> 185   24.00      0  44        1         0
#> 47.1  24.00      0  38        0         1
#> 74    24.00      0  43        0         1
#> 28    24.00      0  67        1         0
#> 72    24.00      0  40        0         1
#> 17.1  24.00      0  38        0         1
#> 94.1  24.00      0  51        0         1
#> 161.3 24.00      0  45        0         0
#> 143   24.00      0  51        0         0
#> 67.1  24.00      0  25        0         0
#> 3     24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 22.2  24.00      0  52        1         0
#> 19    24.00      0  57        0         1
#> 156   24.00      0  50        1         0
#> 176   24.00      0  43        0         1
#> 172   24.00      0  41        0         0
#> 71    24.00      0  51        0         0
#> 174.1 24.00      0  49        1         0
#> 102.1 24.00      0  49        0         0
#> 35.1  24.00      0  51        0         0
#> 31.1  24.00      0  36        0         1
#> 95.1  24.00      0  68        0         1
#> 34    24.00      0  36        0         0
#> 182.1 24.00      0  35        0         0
#> 156.1 24.00      0  50        1         0
#> 75    24.00      0  21        1         0
#> 121.1 24.00      0  57        1         0
#> 143.1 24.00      0  51        0         0
#> 83    24.00      0   6        0         0
#> 116.1 24.00      0  58        0         1
#> 62.1  24.00      0  71        0         0
#> 82    24.00      0  34        0         0
#> 163   24.00      0  66        0         0
#> 94.2  24.00      0  51        0         1
#> 17.2  24.00      0  38        0         1
#> 162   24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.571         NA        NA      NA
#> 2 age, Cure model           0.0110        NA        NA      NA
#> 3 grade_ii, Cure model      0.120         NA        NA      NA
#> 4 grade_iii, Cure model     0.433         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00610        NA        NA      NA
#> 2 grade_ii, Survival model   0.317          NA        NA      NA
#> 3 grade_iii, Survival model  0.224          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.57087           0.01102           0.12047           0.43348  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    255.8 
#> Residual Deviance: 253.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.57087320       0.01102233       0.12046813       0.43348221 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.006101184      0.317148976      0.224006023 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.68821065 0.37897712 0.91691651 0.43375193 0.96224953 0.62259709
#>   [7] 0.68010958 0.72727811 0.83548778 0.72727811 0.25203821 0.45449404
#>  [13] 0.72727811 0.93657458 0.71180303 0.88374338 0.53371510 0.87696684
#>  [19] 0.46478196 0.40137204 0.90371597 0.18496203 0.84250797 0.72727811
#>  [25] 0.62259709 0.75674252 0.60549161 0.50461242 0.49455159 0.79304245
#>  [31] 0.09980048 0.94944068 0.92350192 0.20277067 0.58784743 0.40137204
#>  [37] 0.93657458 0.62259709 0.12590276 0.96864372 0.04515513 0.93005475
#>  [43] 0.98123592 0.79304245 0.65553391 0.87014050 0.60549161 0.59672560
#>  [49] 0.43375193 0.67194468 0.85648251 0.88374338 0.62259709 0.14758599
#>  [55] 0.34480330 0.77862509 0.76413981 0.28081941 0.25203821 0.52408234
#>  [61] 0.79304245 0.39022923 0.77862509 0.29484849 0.53371510 0.34480330
#>  [67] 0.53371510 0.21960623 0.65553391 0.50461242 0.81432962 0.90371597
#>  [73] 0.16675090 0.81432962 0.23603453 0.57015601 0.70392517 0.04515513
#>  [79] 0.42294677 0.33260897 0.36753864 0.98752483 0.85648251 0.99377859
#>  [85] 0.68821065 0.82842418 0.96864372 0.84951811 0.94944068 0.88374338
#>  [91] 0.29484849 0.57015601 0.46478196 0.56100325 0.32008365 0.71180303
#>  [97] 0.76413981 0.46478196 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   125   128    43    55   187    23   188   167    60 167.1   136    97 167.2 
#> 15.65 20.35 12.10 19.34  9.92 16.92 16.16 15.55 13.15 15.55 21.83 19.14 15.55 
#>    93    39    56    41    37     8   166    49   113   155 167.3  23.1    29 
#> 10.33 15.59 12.21 18.02 12.52 18.43 19.98 12.19 22.86 13.08 15.55 16.92 15.45 
#>    30   108    88   133    86   101   159    63   184 166.1  93.1  23.2   164 
#> 17.43 18.29 18.37 14.65 23.81  9.97 10.55 22.77 17.77 19.98 10.33 16.92 23.60 
#>    16    24    52   149 133.1   181   154  30.1   110    58    79   140  56.1 
#>  8.71 23.89 10.42  8.37 14.65 16.46 12.63 17.43 17.56 19.34 16.23 12.68 12.21 
#>  23.3   129   190   180    18   139 136.1    51 133.2   150 180.1   153  41.1 
#> 16.92 23.41 20.81 14.82 15.21 21.49 21.83 18.23 14.65 20.33 14.82 21.33 18.02 
#> 190.1  41.2   169 181.1 108.1    57  49.1    69  57.1    66   134     6  24.1 
#> 20.81 18.02 22.41 16.46 18.29 14.46 12.19 23.23 14.46 22.13 17.81 15.64 23.89 
#>   105    32    68    77 140.1   127 125.1    81  16.1   123 101.1  56.2 153.1 
#> 19.75 20.90 20.62  7.27 12.68  3.53 15.65 14.06  8.71 13.00  9.97 12.21 21.33 
#> 134.1   8.1    40    90  39.1  18.1   8.2   147     9    31    64   142   104 
#> 17.81 18.43 18.00 20.94 15.59 15.21 18.43 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182   146    67   141    27   118 142.1     7    94   138   174   109   173 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    35  27.1   131    87   116    17   186  64.1   121   161     2 142.2 161.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    47 161.2    22 147.1 186.1    65  22.1   193   103   7.1   126   7.2   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95    62   119   152   102   185  47.1    74    28    72  17.1  94.1 161.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143  67.1     3   122  22.2    19   156   176   172    71 174.1 102.1  35.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  31.1  95.1    34 182.1 156.1    75 121.1 143.1    83 116.1  62.1    82   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.2  17.2   162 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[80]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00297735                0.70218665                0.21867620 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.344662019             0.005591139            -0.168585462 
#>   grade_iii, Cure model 
#>             1.056541564 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 183    9.24      1  67        1         0
#> 86    23.81      1  58        0         1
#> 50    10.02      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 60    13.15      1  38        1         0
#> 85    16.44      1  36        0         0
#> 192   16.44      1  31        1         0
#> 85.1  16.44      1  36        0         0
#> 14    12.89      1  21        0         0
#> 89    11.44      1  NA        0         0
#> 136.1 21.83      1  43        0         1
#> 42    12.43      1  49        0         1
#> 50.1  10.02      1  NA        1         0
#> 150   20.33      1  48        0         0
#> 153   21.33      1  55        1         0
#> 4     17.64      1  NA        0         1
#> 16     8.71      1  71        0         1
#> 159   10.55      1  50        0         1
#> 149    8.37      1  33        1         0
#> 97    19.14      1  65        0         1
#> 117   17.46      1  26        0         1
#> 79    16.23      1  54        1         0
#> 192.1 16.44      1  31        1         0
#> 158   20.14      1  74        1         0
#> 93    10.33      1  52        0         1
#> 36    21.19      1  48        0         1
#> 52    10.42      1  52        0         1
#> 130   16.47      1  53        0         1
#> 79.1  16.23      1  54        1         0
#> 157   15.10      1  47        0         0
#> 55    19.34      1  69        0         1
#> 79.2  16.23      1  54        1         0
#> 117.1 17.46      1  26        0         1
#> 68    20.62      1  44        0         0
#> 5     16.43      1  51        0         1
#> 125   15.65      1  67        1         0
#> 91     5.33      1  61        0         1
#> 93.1  10.33      1  52        0         1
#> 52.1  10.42      1  52        0         1
#> 10    10.53      1  34        0         0
#> 86.1  23.81      1  58        0         1
#> 130.1 16.47      1  53        0         1
#> 86.2  23.81      1  58        0         1
#> 85.2  16.44      1  36        0         0
#> 56    12.21      1  60        0         0
#> 93.2  10.33      1  52        0         1
#> 58    19.34      1  39        0         0
#> 179   18.63      1  42        0         0
#> 52.2  10.42      1  52        0         1
#> 26    15.77      1  49        0         1
#> 125.1 15.65      1  67        1         0
#> 136.2 21.83      1  43        0         1
#> 157.1 15.10      1  47        0         0
#> 175   21.91      1  43        0         0
#> 96    14.54      1  33        0         1
#> 99    21.19      1  38        0         1
#> 61    10.12      1  36        0         1
#> 155   13.08      1  26        0         0
#> 13    14.34      1  54        0         1
#> 77     7.27      1  67        0         1
#> 128   20.35      1  35        0         1
#> 136.3 21.83      1  43        0         1
#> 111   17.45      1  47        0         1
#> 77.1   7.27      1  67        0         1
#> 140   12.68      1  59        1         0
#> 6     15.64      1  39        0         0
#> 133   14.65      1  57        0         0
#> 68.1  20.62      1  44        0         0
#> 43    12.10      1  61        0         1
#> 39    15.59      1  37        0         1
#> 168   23.72      1  70        0         0
#> 199   19.81      1  NA        0         1
#> 26.1  15.77      1  49        0         1
#> 78    23.88      1  43        0         0
#> 69    23.23      1  25        0         1
#> 175.1 21.91      1  43        0         0
#> 99.1  21.19      1  38        0         1
#> 154   12.63      1  20        1         0
#> 14.1  12.89      1  21        0         0
#> 175.2 21.91      1  43        0         0
#> 40    18.00      1  28        1         0
#> 39.1  15.59      1  37        0         1
#> 105   19.75      1  60        0         0
#> 60.1  13.15      1  38        1         0
#> 134   17.81      1  47        1         0
#> 133.1 14.65      1  57        0         0
#> 39.2  15.59      1  37        0         1
#> 56.1  12.21      1  60        0         0
#> 30    17.43      1  78        0         0
#> 49    12.19      1  48        1         0
#> 49.1  12.19      1  48        1         0
#> 50.2  10.02      1  NA        1         0
#> 117.2 17.46      1  26        0         1
#> 158.1 20.14      1  74        1         0
#> 15    22.68      1  48        0         0
#> 90    20.94      1  50        0         1
#> 124    9.73      1  NA        1         0
#> 197   21.60      1  69        1         0
#> 110   17.56      1  65        0         1
#> 99.2  21.19      1  38        0         1
#> 78.1  23.88      1  43        0         0
#> 150.1 20.33      1  48        0         0
#> 14.2  12.89      1  21        0         0
#> 56.2  12.21      1  60        0         0
#> 166   19.98      1  48        0         0
#> 36.1  21.19      1  48        0         1
#> 41    18.02      1  40        1         0
#> 52.3  10.42      1  52        0         1
#> 183.1  9.24      1  67        1         0
#> 110.1 17.56      1  65        0         1
#> 37    12.52      1  57        1         0
#> 154.1 12.63      1  20        1         0
#> 122   24.00      0  66        0         0
#> 185   24.00      0  44        1         0
#> 94    24.00      0  51        0         1
#> 75    24.00      0  21        1         0
#> 31    24.00      0  36        0         1
#> 38    24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 27    24.00      0  63        1         0
#> 119   24.00      0  17        0         0
#> 3     24.00      0  31        1         0
#> 131   24.00      0  66        0         0
#> 46    24.00      0  71        0         0
#> 64    24.00      0  43        0         0
#> 2     24.00      0   9        0         0
#> 53    24.00      0  32        0         1
#> 186   24.00      0  45        1         0
#> 121   24.00      0  57        1         0
#> 103   24.00      0  56        1         0
#> 44    24.00      0  56        0         0
#> 19    24.00      0  57        0         1
#> 87    24.00      0  27        0         0
#> 46.1  24.00      0  71        0         0
#> 95    24.00      0  68        0         1
#> 162   24.00      0  51        0         0
#> 143   24.00      0  51        0         0
#> 120   24.00      0  68        0         1
#> 142   24.00      0  53        0         0
#> 74    24.00      0  43        0         1
#> 2.1   24.00      0   9        0         0
#> 135   24.00      0  58        1         0
#> 34    24.00      0  36        0         0
#> 162.1 24.00      0  51        0         0
#> 185.1 24.00      0  44        1         0
#> 9     24.00      0  31        1         0
#> 122.1 24.00      0  66        0         0
#> 38.1  24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 147   24.00      0  76        1         0
#> 22    24.00      0  52        1         0
#> 82    24.00      0  34        0         0
#> 147.1 24.00      0  76        1         0
#> 75.1  24.00      0  21        1         0
#> 94.1  24.00      0  51        0         1
#> 38.2  24.00      0  31        1         0
#> 19.1  24.00      0  57        0         1
#> 196   24.00      0  19        0         0
#> 176   24.00      0  43        0         1
#> 22.1  24.00      0  52        1         0
#> 142.1 24.00      0  53        0         0
#> 3.1   24.00      0  31        1         0
#> 141   24.00      0  44        1         0
#> 17    24.00      0  38        0         1
#> 135.1 24.00      0  58        1         0
#> 115   24.00      0  NA        1         0
#> 143.1 24.00      0  51        0         0
#> 151   24.00      0  42        0         0
#> 83    24.00      0   6        0         0
#> 1     24.00      0  23        1         0
#> 116   24.00      0  58        0         1
#> 178   24.00      0  52        1         0
#> 46.2  24.00      0  71        0         0
#> 137   24.00      0  45        1         0
#> 31.1  24.00      0  36        0         1
#> 94.2  24.00      0  51        0         1
#> 17.1  24.00      0  38        0         1
#> 103.1 24.00      0  56        1         0
#> 3.2   24.00      0  31        1         0
#> 182   24.00      0  35        0         0
#> 28    24.00      0  67        1         0
#> 141.1 24.00      0  44        1         0
#> 33    24.00      0  53        0         0
#> 21    24.00      0  47        0         0
#> 138   24.00      0  44        1         0
#> 102   24.00      0  49        0         0
#> 141.2 24.00      0  44        1         0
#> 186.1 24.00      0  45        1         0
#> 200   24.00      0  64        0         0
#> 115.1 24.00      0  NA        1         0
#> 33.1  24.00      0  53        0         0
#> 47    24.00      0  38        0         1
#> 94.3  24.00      0  51        0         1
#> 109.1 24.00      0  48        0         0
#> 31.2  24.00      0  36        0         1
#> 44.1  24.00      0  56        0         0
#> 126   24.00      0  48        0         0
#> 28.1  24.00      0  67        1         0
#> 172   24.00      0  41        0         0
#> 71    24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.345          NA        NA      NA
#> 2 age, Cure model          0.00559        NA        NA      NA
#> 3 grade_ii, Cure model    -0.169          NA        NA      NA
#> 4 grade_iii, Cure model    1.06           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00298        NA        NA      NA
#> 2 grade_ii, Survival model   0.702          NA        NA      NA
#> 3 grade_iii, Survival model  0.219          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.344662          0.005591         -0.168585          1.056542  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.3 
#> Residual Deviance: 248 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.344662019      0.005591139     -0.168585462      1.056541564 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00297735       0.70218665       0.21867620 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.94339257 0.03611743 0.13949560 0.71799785 0.51391041 0.51391041
#>   [7] 0.51391041 0.74386507 0.13949560 0.80337830 0.29580610 0.19444257
#>  [13] 0.95960416 0.86149969 0.96774398 0.37767218 0.44733849 0.56843937
#>  [19] 0.51391041 0.31671495 0.91064923 0.20548100 0.87805973 0.49485977
#>  [25] 0.56843937 0.66524735 0.35733321 0.56843937 0.44733849 0.26447068
#>  [31] 0.55910413 0.61290369 0.99192219 0.91064923 0.87805973 0.86977592
#>  [37] 0.03611743 0.49485977 0.03611743 0.51391041 0.81174898 0.91064923
#>  [43] 0.35733321 0.38797525 0.87805973 0.59506120 0.61290369 0.13949560
#>  [49] 0.66524735 0.10446523 0.70033979 0.20548100 0.93515883 0.73520365
#>  [55] 0.70917210 0.97582742 0.28526149 0.13949560 0.47561476 0.97582742
#>  [61] 0.76960190 0.63041328 0.68275837 0.26447068 0.85321771 0.63924327
#>  [67] 0.06661395 0.59506120 0.01159058 0.07935742 0.10446523 0.20548100
#>  [73] 0.77821103 0.74386507 0.10446523 0.40843797 0.63924327 0.34704351
#>  [79] 0.71799785 0.41835469 0.68275837 0.63924327 0.81174898 0.48521749
#>  [85] 0.83672813 0.83672813 0.44733849 0.31671495 0.09179585 0.25396642
#>  [91] 0.18293859 0.42809716 0.20548100 0.01159058 0.29580610 0.74386507
#>  [97] 0.81174898 0.33680351 0.20548100 0.39831060 0.87805973 0.94339257
#> [103] 0.42809716 0.79500104 0.77821103 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   183    86   136    60    85   192  85.1    14 136.1    42   150   153    16 
#>  9.24 23.81 21.83 13.15 16.44 16.44 16.44 12.89 21.83 12.43 20.33 21.33  8.71 
#>   159   149    97   117    79 192.1   158    93    36    52   130  79.1   157 
#> 10.55  8.37 19.14 17.46 16.23 16.44 20.14 10.33 21.19 10.42 16.47 16.23 15.10 
#>    55  79.2 117.1    68     5   125    91  93.1  52.1    10  86.1 130.1  86.2 
#> 19.34 16.23 17.46 20.62 16.43 15.65  5.33 10.33 10.42 10.53 23.81 16.47 23.81 
#>  85.2    56  93.2    58   179  52.2    26 125.1 136.2 157.1   175    96    99 
#> 16.44 12.21 10.33 19.34 18.63 10.42 15.77 15.65 21.83 15.10 21.91 14.54 21.19 
#>    61   155    13    77   128 136.3   111  77.1   140     6   133  68.1    43 
#> 10.12 13.08 14.34  7.27 20.35 21.83 17.45  7.27 12.68 15.64 14.65 20.62 12.10 
#>    39   168  26.1    78    69 175.1  99.1   154  14.1 175.2    40  39.1   105 
#> 15.59 23.72 15.77 23.88 23.23 21.91 21.19 12.63 12.89 21.91 18.00 15.59 19.75 
#>  60.1   134 133.1  39.2  56.1    30    49  49.1 117.2 158.1    15    90   197 
#> 13.15 17.81 14.65 15.59 12.21 17.43 12.19 12.19 17.46 20.14 22.68 20.94 21.60 
#>   110  99.2  78.1 150.1  14.2  56.2   166  36.1    41  52.3 183.1 110.1    37 
#> 17.56 21.19 23.88 20.33 12.89 12.21 19.98 21.19 18.02 10.42  9.24 17.56 12.52 
#> 154.1   122   185    94    75    31    38    27   119     3   131    46    64 
#> 12.63 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2    53   186   121   103    44    19    87  46.1    95   162   143   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142    74   2.1   135    34 162.1 185.1     9 122.1  38.1   109   147    22 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    82 147.1  75.1  94.1  38.2  19.1   196   176  22.1 142.1   3.1   141    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 135.1 143.1   151    83     1   116   178  46.2   137  31.1  94.2  17.1 103.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.2   182    28 141.1    33    21   138   102 141.2 186.1   200  33.1    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.3 109.1  31.2  44.1   126  28.1   172    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[81]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003401125               0.499839045               0.311859567 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.88614866              0.01470722              0.27885047 
#>   grade_iii, Cure model 
#>              1.31265056 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 32    20.90      1  37        1         0
#> 171   16.57      1  41        0         1
#> 56    12.21      1  60        0         0
#> 136   21.83      1  43        0         1
#> 15    22.68      1  48        0         0
#> 68    20.62      1  44        0         0
#> 43    12.10      1  61        0         1
#> 130   16.47      1  53        0         1
#> 57    14.46      1  45        0         1
#> 100   16.07      1  60        0         0
#> 93    10.33      1  52        0         1
#> 57.1  14.46      1  45        0         1
#> 41    18.02      1  40        1         0
#> 130.1 16.47      1  53        0         1
#> 166   19.98      1  48        0         0
#> 183    9.24      1  67        1         0
#> 139   21.49      1  63        1         0
#> 99    21.19      1  38        0         1
#> 45    17.42      1  54        0         1
#> 158   20.14      1  74        1         0
#> 154   12.63      1  20        1         0
#> 100.1 16.07      1  60        0         0
#> 190   20.81      1  42        1         0
#> 56.1  12.21      1  60        0         0
#> 155   13.08      1  26        0         0
#> 85    16.44      1  36        0         0
#> 96    14.54      1  33        0         1
#> 37    12.52      1  57        1         0
#> 166.1 19.98      1  48        0         0
#> 129   23.41      1  53        1         0
#> 86    23.81      1  58        0         1
#> 105   19.75      1  60        0         0
#> 189   10.51      1  NA        1         0
#> 5     16.43      1  51        0         1
#> 188   16.16      1  46        0         1
#> 129.1 23.41      1  53        1         0
#> 55    19.34      1  69        0         1
#> 128   20.35      1  35        0         1
#> 41.1  18.02      1  40        1         0
#> 30    17.43      1  78        0         0
#> 171.1 16.57      1  41        0         1
#> 96.1  14.54      1  33        0         1
#> 169   22.41      1  46        0         0
#> 39    15.59      1  37        0         1
#> 187    9.92      1  39        1         0
#> 100.2 16.07      1  60        0         0
#> 68.1  20.62      1  44        0         0
#> 52    10.42      1  52        0         1
#> 106   16.67      1  49        1         0
#> 93.1  10.33      1  52        0         1
#> 37.1  12.52      1  57        1         0
#> 68.2  20.62      1  44        0         0
#> 37.2  12.52      1  57        1         0
#> 183.1  9.24      1  67        1         0
#> 26    15.77      1  49        0         1
#> 133   14.65      1  57        0         0
#> 136.1 21.83      1  43        0         1
#> 70     7.38      1  30        1         0
#> 189.1 10.51      1  NA        1         0
#> 42    12.43      1  49        0         1
#> 56.2  12.21      1  60        0         0
#> 55.1  19.34      1  69        0         1
#> 106.1 16.67      1  49        1         0
#> 69    23.23      1  25        0         1
#> 190.1 20.81      1  42        1         0
#> 70.1   7.38      1  30        1         0
#> 26.1  15.77      1  49        0         1
#> 63    22.77      1  31        1         0
#> 78    23.88      1  43        0         0
#> 195   11.76      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 85.1  16.44      1  36        0         0
#> 153   21.33      1  55        1         0
#> 187.1  9.92      1  39        1         0
#> 93.2  10.33      1  52        0         1
#> 78.1  23.88      1  43        0         0
#> 168.1 23.72      1  70        0         0
#> 189.2 10.51      1  NA        1         0
#> 99.1  21.19      1  38        0         1
#> 179   18.63      1  42        0         0
#> 76    19.22      1  54        0         1
#> 158.1 20.14      1  74        1         0
#> 154.1 12.63      1  20        1         0
#> 60    13.15      1  38        1         0
#> 92    22.92      1  47        0         1
#> 49    12.19      1  48        1         0
#> 100.3 16.07      1  60        0         0
#> 6     15.64      1  39        0         0
#> 157   15.10      1  47        0         0
#> 15.1  22.68      1  48        0         0
#> 63.1  22.77      1  31        1         0
#> 88    18.37      1  47        0         0
#> 86.1  23.81      1  58        0         1
#> 108   18.29      1  39        0         1
#> 168.2 23.72      1  70        0         0
#> 153.1 21.33      1  55        1         0
#> 134   17.81      1  47        1         0
#> 79    16.23      1  54        1         0
#> 123   13.00      1  44        1         0
#> 158.2 20.14      1  74        1         0
#> 70.2   7.38      1  30        1         0
#> 145   10.07      1  65        1         0
#> 187.2  9.92      1  39        1         0
#> 101    9.97      1  10        0         1
#> 30.1  17.43      1  78        0         0
#> 190.2 20.81      1  42        1         0
#> 69.1  23.23      1  25        0         1
#> 111   17.45      1  47        0         1
#> 93.3  10.33      1  52        0         1
#> 90    20.94      1  50        0         1
#> 37.3  12.52      1  57        1         0
#> 175   21.91      1  43        0         0
#> 104   24.00      0  50        1         0
#> 121   24.00      0  57        1         0
#> 27    24.00      0  63        1         0
#> 47    24.00      0  38        0         1
#> 71    24.00      0  51        0         0
#> 132   24.00      0  55        0         0
#> 34    24.00      0  36        0         0
#> 112   24.00      0  61        0         0
#> 126   24.00      0  48        0         0
#> 3     24.00      0  31        1         0
#> 200   24.00      0  64        0         0
#> 104.1 24.00      0  50        1         0
#> 141   24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 146   24.00      0  63        1         0
#> 198   24.00      0  66        0         1
#> 82    24.00      0  34        0         0
#> 174   24.00      0  49        1         0
#> 138   24.00      0  44        1         0
#> 72    24.00      0  40        0         1
#> 84    24.00      0  39        0         1
#> 102   24.00      0  49        0         0
#> 27.1  24.00      0  63        1         0
#> 73    24.00      0  NA        0         1
#> 109   24.00      0  48        0         0
#> 12    24.00      0  63        0         0
#> 3.1   24.00      0  31        1         0
#> 74    24.00      0  43        0         1
#> 2     24.00      0   9        0         0
#> 131   24.00      0  66        0         0
#> 147   24.00      0  76        1         0
#> 152   24.00      0  36        0         1
#> 11    24.00      0  42        0         1
#> 73.1  24.00      0  NA        0         1
#> 137   24.00      0  45        1         0
#> 160   24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 94    24.00      0  51        0         1
#> 22    24.00      0  52        1         0
#> 104.2 24.00      0  50        1         0
#> 147.1 24.00      0  76        1         0
#> 143   24.00      0  51        0         0
#> 12.1  24.00      0  63        0         0
#> 173   24.00      0  19        0         1
#> 138.1 24.00      0  44        1         0
#> 98.1  24.00      0  34        1         0
#> 27.2  24.00      0  63        1         0
#> 173.1 24.00      0  19        0         1
#> 160.1 24.00      0  31        1         0
#> 71.1  24.00      0  51        0         0
#> 132.1 24.00      0  55        0         0
#> 83    24.00      0   6        0         0
#> 33    24.00      0  53        0         0
#> 109.1 24.00      0  48        0         0
#> 146.1 24.00      0  63        1         0
#> 54    24.00      0  53        1         0
#> 44    24.00      0  56        0         0
#> 28    24.00      0  67        1         0
#> 44.1  24.00      0  56        0         0
#> 165   24.00      0  47        0         0
#> 103   24.00      0  56        1         0
#> 2.1   24.00      0   9        0         0
#> 122   24.00      0  66        0         0
#> 2.2   24.00      0   9        0         0
#> 142   24.00      0  53        0         0
#> 83.1  24.00      0   6        0         0
#> 102.1 24.00      0  49        0         0
#> 44.2  24.00      0  56        0         0
#> 165.1 24.00      0  47        0         0
#> 95    24.00      0  68        0         1
#> 118   24.00      0  44        1         0
#> 115   24.00      0  NA        1         0
#> 11.1  24.00      0  42        0         1
#> 3.2   24.00      0  31        1         0
#> 173.2 24.00      0  19        0         1
#> 118.1 24.00      0  44        1         0
#> 103.1 24.00      0  56        1         0
#> 178   24.00      0  52        1         0
#> 12.2  24.00      0  63        0         0
#> 34.1  24.00      0  36        0         0
#> 44.3  24.00      0  56        0         0
#> 172   24.00      0  41        0         0
#> 174.1 24.00      0  49        1         0
#> 132.2 24.00      0  55        0         0
#> 35    24.00      0  51        0         0
#> 119   24.00      0  17        0         0
#> 148   24.00      0  61        1         0
#> 67    24.00      0  25        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.886         NA        NA      NA
#> 2 age, Cure model           0.0147        NA        NA      NA
#> 3 grade_ii, Cure model      0.279         NA        NA      NA
#> 4 grade_iii, Cure model     1.31          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00340        NA        NA      NA
#> 2 grade_ii, Survival model   0.500          NA        NA      NA
#> 3 grade_iii, Survival model  0.312          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.88615           0.01471           0.27885           1.31265  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    264.8 
#> Residual Deviance: 252.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.88614866       0.01470722       0.27885047       1.31265056 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003401125      0.499839045      0.311859567 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.29127211 0.55332578 0.83676213 0.21133196 0.16931190 0.32799756
#>   [7] 0.87002294 0.57074717 0.73555744 0.63163096 0.88669748 0.73555744
#>  [13] 0.47339928 0.57074717 0.39133363 0.96008265 0.23192737 0.26202078
#>  [19] 0.52684848 0.36466614 0.77862667 0.63163096 0.30095504 0.83676213
#>  [25] 0.76140898 0.58809412 0.71825692 0.79550925 0.39133363 0.09310338
#>  [31] 0.03503947 0.40944576 0.60550028 0.62294969 0.09310338 0.41864224
#>  [37] 0.35535469 0.47339928 0.50905533 0.55332578 0.71825692 0.18990129
#>  [43] 0.69206144 0.93587544 0.63163096 0.32799756 0.87836593 0.53580062
#>  [49] 0.88669748 0.79550925 0.32799756 0.79550925 0.96008265 0.66598862
#>  [55] 0.70950709 0.21133196 0.97620434 0.82842167 0.83676213 0.41864224
#>  [61] 0.53580062 0.11602144 0.30095504 0.97620434 0.66598862 0.14909536
#>  [67] 0.01101206 0.05798369 0.58809412 0.24230866 0.93587544 0.88669748
#>  [73] 0.01101206 0.05798369 0.26202078 0.44590388 0.43677009 0.36466614
#>  [79] 0.77862667 0.75278823 0.13785829 0.86167114 0.63163096 0.68332414
#>  [85] 0.70077624 0.16931190 0.14909536 0.45506264 0.03503947 0.46424873
#>  [91] 0.05798369 0.24230866 0.49122419 0.61424803 0.77003800 0.36466614
#>  [97] 0.97620434 0.91938200 0.93587544 0.92764046 0.50905533 0.30095504
#> [103] 0.11602144 0.50015280 0.88669748 0.28144101 0.79550925 0.20057763
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000
#> 
#> $Time
#>    32   171    56   136    15    68    43   130    57   100    93  57.1    41 
#> 20.90 16.57 12.21 21.83 22.68 20.62 12.10 16.47 14.46 16.07 10.33 14.46 18.02 
#> 130.1   166   183   139    99    45   158   154 100.1   190  56.1   155    85 
#> 16.47 19.98  9.24 21.49 21.19 17.42 20.14 12.63 16.07 20.81 12.21 13.08 16.44 
#>    96    37 166.1   129    86   105     5   188 129.1    55   128  41.1    30 
#> 14.54 12.52 19.98 23.41 23.81 19.75 16.43 16.16 23.41 19.34 20.35 18.02 17.43 
#> 171.1  96.1   169    39   187 100.2  68.1    52   106  93.1  37.1  68.2  37.2 
#> 16.57 14.54 22.41 15.59  9.92 16.07 20.62 10.42 16.67 10.33 12.52 20.62 12.52 
#> 183.1    26   133 136.1    70    42  56.2  55.1 106.1    69 190.1  70.1  26.1 
#>  9.24 15.77 14.65 21.83  7.38 12.43 12.21 19.34 16.67 23.23 20.81  7.38 15.77 
#>    63    78   168  85.1   153 187.1  93.2  78.1 168.1  99.1   179    76 158.1 
#> 22.77 23.88 23.72 16.44 21.33  9.92 10.33 23.88 23.72 21.19 18.63 19.22 20.14 
#> 154.1    60    92    49 100.3     6   157  15.1  63.1    88  86.1   108 168.2 
#> 12.63 13.15 22.92 12.19 16.07 15.64 15.10 22.68 22.77 18.37 23.81 18.29 23.72 
#> 153.1   134    79   123 158.2  70.2   145 187.2   101  30.1 190.2  69.1   111 
#> 21.33 17.81 16.23 13.00 20.14  7.38 10.07  9.92  9.97 17.43 20.81 23.23 17.45 
#>  93.3    90  37.3   175   104   121    27    47    71   132    34   112   126 
#> 10.33 20.94 12.52 21.91 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3   200 104.1   141    65   146   198    82   174   138    72    84   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  27.1   109    12   3.1    74     2   131   147   152    11   137   160    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94    22 104.2 147.1   143  12.1   173 138.1  98.1  27.2 173.1 160.1  71.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.1    83    33 109.1 146.1    54    44    28  44.1   165   103   2.1   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   2.2   142  83.1 102.1  44.2 165.1    95   118  11.1   3.2 173.2 118.1 103.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178  12.2  34.1  44.3   172 174.1 132.2    35   119   148    67 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[82]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00849015                0.86017712                0.48433639 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.67309311              0.02767029              0.58381748 
#>   grade_iii, Cure model 
#>              0.88367332 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 124    9.73      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 124.1  9.73      1  NA        1         0
#> 52    10.42      1  52        0         1
#> 114   13.68      1  NA        0         0
#> 139   21.49      1  63        1         0
#> 91     5.33      1  61        0         1
#> 199   19.81      1  NA        0         1
#> 93    10.33      1  52        0         1
#> 50    10.02      1  NA        1         0
#> 158   20.14      1  74        1         0
#> 56    12.21      1  60        0         0
#> 24    23.89      1  38        0         0
#> 49    12.19      1  48        1         0
#> 59    10.16      1  NA        1         0
#> 110   17.56      1  65        0         1
#> 187    9.92      1  39        1         0
#> 93.1  10.33      1  52        0         1
#> 5     16.43      1  51        0         1
#> 123   13.00      1  44        1         0
#> 145   10.07      1  65        1         0
#> 52.1  10.42      1  52        0         1
#> 192   16.44      1  31        1         0
#> 168   23.72      1  70        0         0
#> 124.2  9.73      1  NA        1         0
#> 157   15.10      1  47        0         0
#> 59.1  10.16      1  NA        1         0
#> 68    20.62      1  44        0         0
#> 36    21.19      1  48        0         1
#> 177   12.53      1  75        0         0
#> 169   22.41      1  46        0         0
#> 195   11.76      1  NA        1         0
#> 164   23.60      1  76        0         1
#> 169.1 22.41      1  46        0         0
#> 177.1 12.53      1  75        0         0
#> 187.1  9.92      1  39        1         0
#> 30    17.43      1  78        0         0
#> 5.1   16.43      1  51        0         1
#> 181   16.46      1  45        0         1
#> 134   17.81      1  47        1         0
#> 167   15.55      1  56        1         0
#> 149    8.37      1  33        1         0
#> 190   20.81      1  42        1         0
#> 157.1 15.10      1  47        0         0
#> 136   21.83      1  43        0         1
#> 90    20.94      1  50        0         1
#> 128   20.35      1  35        0         1
#> 89    11.44      1  NA        0         0
#> 99    21.19      1  38        0         1
#> 111   17.45      1  47        0         1
#> 170   19.54      1  43        0         1
#> 93.2  10.33      1  52        0         1
#> 106   16.67      1  49        1         0
#> 192.1 16.44      1  31        1         0
#> 26    15.77      1  49        0         1
#> 195.1 11.76      1  NA        1         0
#> 189   10.51      1  NA        1         0
#> 15    22.68      1  48        0         0
#> 168.1 23.72      1  70        0         0
#> 197   21.60      1  69        1         0
#> 140   12.68      1  59        1         0
#> 153   21.33      1  55        1         0
#> 50.1  10.02      1  NA        1         0
#> 159   10.55      1  50        0         1
#> 32    20.90      1  37        1         0
#> 164.1 23.60      1  76        0         1
#> 30.1  17.43      1  78        0         0
#> 154   12.63      1  20        1         0
#> 188   16.16      1  46        0         1
#> 29    15.45      1  68        1         0
#> 101    9.97      1  10        0         1
#> 189.1 10.51      1  NA        1         0
#> 39    15.59      1  37        0         1
#> 170.1 19.54      1  43        0         1
#> 10    10.53      1  34        0         0
#> 93.3  10.33      1  52        0         1
#> 110.1 17.56      1  65        0         1
#> 24.1  23.89      1  38        0         0
#> 14    12.89      1  21        0         0
#> 100   16.07      1  60        0         0
#> 107   11.18      1  54        1         0
#> 166   19.98      1  48        0         0
#> 105   19.75      1  60        0         0
#> 194   22.40      1  38        0         1
#> 99.1  21.19      1  38        0         1
#> 91.1   5.33      1  61        0         1
#> 194.1 22.40      1  38        0         1
#> 197.1 21.60      1  69        1         0
#> 26.1  15.77      1  49        0         1
#> 128.1 20.35      1  35        0         1
#> 124.3  9.73      1  NA        1         0
#> 51    18.23      1  83        0         1
#> 10.1  10.53      1  34        0         0
#> 194.2 22.40      1  38        0         1
#> 107.1 11.18      1  54        1         0
#> 29.1  15.45      1  68        1         0
#> 136.1 21.83      1  43        0         1
#> 197.2 21.60      1  69        1         0
#> 100.1 16.07      1  60        0         0
#> 158.1 20.14      1  74        1         0
#> 68.1  20.62      1  44        0         0
#> 16     8.71      1  71        0         1
#> 39.1  15.59      1  37        0         1
#> 175   21.91      1  43        0         0
#> 60    13.15      1  38        1         0
#> 90.1  20.94      1  50        0         1
#> 123.1 13.00      1  44        1         0
#> 192.2 16.44      1  31        1         0
#> 25     6.32      1  34        1         0
#> 100.2 16.07      1  60        0         0
#> 42    12.43      1  49        0         1
#> 106.1 16.67      1  49        1         0
#> 82    24.00      0  34        0         0
#> 165   24.00      0  47        0         0
#> 142   24.00      0  53        0         0
#> 193   24.00      0  45        0         1
#> 103   24.00      0  56        1         0
#> 173   24.00      0  19        0         1
#> 144   24.00      0  28        0         1
#> 73    24.00      0  NA        0         1
#> 53    24.00      0  32        0         1
#> 74    24.00      0  43        0         1
#> 27    24.00      0  63        1         0
#> 137   24.00      0  45        1         0
#> 131   24.00      0  66        0         0
#> 46    24.00      0  71        0         0
#> 17    24.00      0  38        0         1
#> 2     24.00      0   9        0         0
#> 19    24.00      0  57        0         1
#> 196   24.00      0  19        0         0
#> 193.1 24.00      0  45        0         1
#> 196.1 24.00      0  19        0         0
#> 33    24.00      0  53        0         0
#> 120   24.00      0  68        0         1
#> 98    24.00      0  34        1         0
#> 83    24.00      0   6        0         0
#> 141   24.00      0  44        1         0
#> 28    24.00      0  67        1         0
#> 72    24.00      0  40        0         1
#> 119   24.00      0  17        0         0
#> 151   24.00      0  42        0         0
#> 118   24.00      0  44        1         0
#> 163   24.00      0  66        0         0
#> 2.1   24.00      0   9        0         0
#> 143   24.00      0  51        0         0
#> 116   24.00      0  58        0         1
#> 120.1 24.00      0  68        0         1
#> 152   24.00      0  36        0         1
#> 20    24.00      0  46        1         0
#> 151.1 24.00      0  42        0         0
#> 200   24.00      0  64        0         0
#> 84    24.00      0  39        0         1
#> 161   24.00      0  45        0         0
#> 73.1  24.00      0  NA        0         1
#> 104   24.00      0  50        1         0
#> 144.1 24.00      0  28        0         1
#> 103.1 24.00      0  56        1         0
#> 131.1 24.00      0  66        0         0
#> 160   24.00      0  31        1         0
#> 28.1  24.00      0  67        1         0
#> 178   24.00      0  52        1         0
#> 151.2 24.00      0  42        0         0
#> 178.1 24.00      0  52        1         0
#> 176   24.00      0  43        0         1
#> 162   24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 151.3 24.00      0  42        0         0
#> 62    24.00      0  71        0         0
#> 200.1 24.00      0  64        0         0
#> 9     24.00      0  31        1         0
#> 22    24.00      0  52        1         0
#> 161.1 24.00      0  45        0         0
#> 172   24.00      0  41        0         0
#> 102   24.00      0  49        0         0
#> 144.2 24.00      0  28        0         1
#> 94    24.00      0  51        0         1
#> 34    24.00      0  36        0         0
#> 11    24.00      0  42        0         1
#> 141.1 24.00      0  44        1         0
#> 20.1  24.00      0  46        1         0
#> 87    24.00      0  27        0         0
#> 156   24.00      0  50        1         0
#> 2.2   24.00      0   9        0         0
#> 33.1  24.00      0  53        0         0
#> 48    24.00      0  31        1         0
#> 120.2 24.00      0  68        0         1
#> 67    24.00      0  25        0         0
#> 31    24.00      0  36        0         1
#> 160.1 24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 119.1 24.00      0  17        0         0
#> 126   24.00      0  48        0         0
#> 47    24.00      0  38        0         1
#> 120.3 24.00      0  68        0         1
#> 186   24.00      0  45        1         0
#> 185   24.00      0  44        1         0
#> 102.1 24.00      0  49        0         0
#> 191   24.00      0  60        0         1
#> 34.1  24.00      0  36        0         0
#> 65    24.00      0  57        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.67          NA        NA      NA
#> 2 age, Cure model           0.0277        NA        NA      NA
#> 3 grade_ii, Cure model      0.584         NA        NA      NA
#> 4 grade_iii, Cure model     0.884         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00849        NA        NA      NA
#> 2 grade_ii, Survival model   0.860          NA        NA      NA
#> 3 grade_iii, Survival model  0.484          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.67309           0.02767           0.58382           0.88367  
#> 
#> Degrees of Freedom: 182 Total (i.e. Null);  179 Residual
#> Null Deviance:	    253 
#> Residual Deviance: 239.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.67309311       0.02767029       0.58381748       0.88367332 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00849015       0.86017712       0.48433639 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.41088009 0.85966264 0.20746212 0.98166774 0.87870348 0.34818843
#>   [7] 0.79274325 0.00422316 0.80246002 0.44277582 0.93527872 0.87870348
#>  [13] 0.55634717 0.71552906 0.91630226 0.85966264 0.52688774 0.01679921
#>  [19] 0.68579702 0.30607928 0.23076103 0.76383759 0.07210872 0.03677859
#>  [25] 0.07210872 0.76383759 0.93527872 0.47423800 0.55634717 0.51639067
#>  [31] 0.43222807 0.65614600 0.96319285 0.29552454 0.68579702 0.14817039
#>  [37] 0.26292356 0.32727298 0.23076103 0.46368449 0.38998860 0.87870348
#>  [43] 0.49556481 0.52688774 0.61606015 0.05884692 0.01679921 0.17333960
#>  [49] 0.74458495 0.21926053 0.83107353 0.28471717 0.03677859 0.47423800
#>  [55] 0.75427235 0.57612728 0.66614347 0.92581436 0.63616163 0.38998860
#>  [61] 0.84060333 0.87870348 0.44277582 0.00422316 0.73484275 0.58608676
#>  [67] 0.81210989 0.36878149 0.37932589 0.09918260 0.23076103 0.98166774
#>  [73] 0.09918260 0.17333960 0.61606015 0.32727298 0.42152734 0.84060333
#>  [79] 0.09918260 0.81210989 0.66614347 0.14817039 0.17333960 0.58608676
#>  [85] 0.34818843 0.30607928 0.95385090 0.63616163 0.13470331 0.70563769
#>  [91] 0.26292356 0.71552906 0.52688774 0.97246412 0.58608676 0.78307379
#>  [97] 0.49556481 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>     8    52   139    91    93   158    56    24    49   110   187  93.1     5 
#> 18.43 10.42 21.49  5.33 10.33 20.14 12.21 23.89 12.19 17.56  9.92 10.33 16.43 
#>   123   145  52.1   192   168   157    68    36   177   169   164 169.1 177.1 
#> 13.00 10.07 10.42 16.44 23.72 15.10 20.62 21.19 12.53 22.41 23.60 22.41 12.53 
#> 187.1    30   5.1   181   134   167   149   190 157.1   136    90   128    99 
#>  9.92 17.43 16.43 16.46 17.81 15.55  8.37 20.81 15.10 21.83 20.94 20.35 21.19 
#>   111   170  93.2   106 192.1    26    15 168.1   197   140   153   159    32 
#> 17.45 19.54 10.33 16.67 16.44 15.77 22.68 23.72 21.60 12.68 21.33 10.55 20.90 
#> 164.1  30.1   154   188    29   101    39 170.1    10  93.3 110.1  24.1    14 
#> 23.60 17.43 12.63 16.16 15.45  9.97 15.59 19.54 10.53 10.33 17.56 23.89 12.89 
#>   100   107   166   105   194  99.1  91.1 194.1 197.1  26.1 128.1    51  10.1 
#> 16.07 11.18 19.98 19.75 22.40 21.19  5.33 22.40 21.60 15.77 20.35 18.23 10.53 
#> 194.2 107.1  29.1 136.1 197.2 100.1 158.1  68.1    16  39.1   175    60  90.1 
#> 22.40 11.18 15.45 21.83 21.60 16.07 20.14 20.62  8.71 15.59 21.91 13.15 20.94 
#> 123.1 192.2    25 100.2    42 106.1    82   165   142   193   103   173   144 
#> 13.00 16.44  6.32 16.07 12.43 16.67 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53    74    27   137   131    46    17     2    19   196 193.1 196.1    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120    98    83   141    28    72   119   151   118   163   2.1   143   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 120.1   152    20 151.1   200    84   161   104 144.1 103.1 131.1   160  28.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178 151.2 178.1   176   162    21 151.3    62 200.1     9    22 161.1   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102 144.2    94    34    11 141.1  20.1    87   156   2.2  33.1    48 120.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67    31 160.1   109 119.1   126    47 120.3   186   185 102.1   191  34.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    65 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[83]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01093173                0.58833944                0.69667130 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.458908393             0.009878378            -0.346078479 
#>   grade_iii, Cure model 
#>             0.753061122 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 90    20.94      1  50        0         1
#> 8     18.43      1  32        0         0
#> 89    11.44      1  NA        0         0
#> 90.1  20.94      1  50        0         1
#> 59    10.16      1  NA        1         0
#> 37    12.52      1  57        1         0
#> 110   17.56      1  65        0         1
#> 5     16.43      1  51        0         1
#> 179   18.63      1  42        0         0
#> 184   17.77      1  38        0         0
#> 66    22.13      1  53        0         0
#> 56    12.21      1  60        0         0
#> 108   18.29      1  39        0         1
#> 25     6.32      1  34        1         0
#> 99    21.19      1  38        0         1
#> 114   13.68      1  NA        0         0
#> 100   16.07      1  60        0         0
#> 13    14.34      1  54        0         1
#> 51    18.23      1  83        0         1
#> 42    12.43      1  49        0         1
#> 111   17.45      1  47        0         1
#> 175   21.91      1  43        0         0
#> 164   23.60      1  76        0         1
#> 129   23.41      1  53        1         0
#> 177   12.53      1  75        0         0
#> 187    9.92      1  39        1         0
#> 88    18.37      1  47        0         0
#> 88.1  18.37      1  47        0         0
#> 85    16.44      1  36        0         0
#> 5.1   16.43      1  51        0         1
#> 106   16.67      1  49        1         0
#> 168   23.72      1  70        0         0
#> 150   20.33      1  48        0         0
#> 32    20.90      1  37        1         0
#> 43    12.10      1  61        0         1
#> 39    15.59      1  37        0         1
#> 4     17.64      1  NA        0         1
#> 93    10.33      1  52        0         1
#> 129.1 23.41      1  53        1         0
#> 4.1   17.64      1  NA        0         1
#> 195   11.76      1  NA        1         0
#> 154   12.63      1  20        1         0
#> 158   20.14      1  74        1         0
#> 24    23.89      1  38        0         0
#> 57    14.46      1  45        0         1
#> 192   16.44      1  31        1         0
#> 60    13.15      1  38        1         0
#> 91     5.33      1  61        0         1
#> 101    9.97      1  10        0         1
#> 51.1  18.23      1  83        0         1
#> 50    10.02      1  NA        1         0
#> 168.1 23.72      1  70        0         0
#> 16     8.71      1  71        0         1
#> 58    19.34      1  39        0         0
#> 149    8.37      1  33        1         0
#> 188   16.16      1  46        0         1
#> 166   19.98      1  48        0         0
#> 153   21.33      1  55        1         0
#> 97    19.14      1  65        0         1
#> 139   21.49      1  63        1         0
#> 153.1 21.33      1  55        1         0
#> 97.1  19.14      1  65        0         1
#> 36    21.19      1  48        0         1
#> 78    23.88      1  43        0         0
#> 168.2 23.72      1  70        0         0
#> 6     15.64      1  39        0         0
#> 78.1  23.88      1  43        0         0
#> 30    17.43      1  78        0         0
#> 140   12.68      1  59        1         0
#> 60.1  13.15      1  38        1         0
#> 187.1  9.92      1  39        1         0
#> 179.1 18.63      1  42        0         0
#> 127    3.53      1  62        0         1
#> 25.1   6.32      1  34        1         0
#> 63    22.77      1  31        1         0
#> 42.1  12.43      1  49        0         1
#> 10    10.53      1  34        0         0
#> 89.1  11.44      1  NA        0         0
#> 15    22.68      1  48        0         0
#> 39.1  15.59      1  37        0         1
#> 86    23.81      1  58        0         1
#> 170   19.54      1  43        0         1
#> 96    14.54      1  33        0         1
#> 197   21.60      1  69        1         0
#> 68    20.62      1  44        0         0
#> 123   13.00      1  44        1         0
#> 181   16.46      1  45        0         1
#> 194   22.40      1  38        0         1
#> 195.1 11.76      1  NA        1         0
#> 45    17.42      1  54        0         1
#> 194.1 22.40      1  38        0         1
#> 77     7.27      1  67        0         1
#> 145   10.07      1  65        1         0
#> 29    15.45      1  68        1         0
#> 129.2 23.41      1  53        1         0
#> 40    18.00      1  28        1         0
#> 91.1   5.33      1  61        0         1
#> 6.1   15.64      1  39        0         0
#> 45.1  17.42      1  54        0         1
#> 36.1  21.19      1  48        0         1
#> 189   10.51      1  NA        1         0
#> 166.1 19.98      1  48        0         0
#> 130   16.47      1  53        0         1
#> 49    12.19      1  48        1         0
#> 114.1 13.68      1  NA        0         0
#> 117   17.46      1  26        0         1
#> 195.2 11.76      1  NA        1         0
#> 155   13.08      1  26        0         0
#> 184.1 17.77      1  38        0         0
#> 43.1  12.10      1  61        0         1
#> 124    9.73      1  NA        1         0
#> 76    19.22      1  54        0         1
#> 200   24.00      0  64        0         0
#> 146   24.00      0  63        1         0
#> 48    24.00      0  31        1         0
#> 64    24.00      0  43        0         0
#> 44    24.00      0  56        0         0
#> 196   24.00      0  19        0         0
#> 151   24.00      0  42        0         0
#> 80    24.00      0  41        0         0
#> 54    24.00      0  53        1         0
#> 11    24.00      0  42        0         1
#> 119   24.00      0  17        0         0
#> 126   24.00      0  48        0         0
#> 98    24.00      0  34        1         0
#> 1     24.00      0  23        1         0
#> 47    24.00      0  38        0         1
#> 46    24.00      0  71        0         0
#> 163   24.00      0  66        0         0
#> 138   24.00      0  44        1         0
#> 71    24.00      0  51        0         0
#> 178   24.00      0  52        1         0
#> 104   24.00      0  50        1         0
#> 178.1 24.00      0  52        1         0
#> 104.1 24.00      0  50        1         0
#> 74    24.00      0  43        0         1
#> 7     24.00      0  37        1         0
#> 115   24.00      0  NA        1         0
#> 22    24.00      0  52        1         0
#> 94    24.00      0  51        0         1
#> 103   24.00      0  56        1         0
#> 94.1  24.00      0  51        0         1
#> 163.1 24.00      0  66        0         0
#> 34    24.00      0  36        0         0
#> 48.1  24.00      0  31        1         0
#> 143   24.00      0  51        0         0
#> 147   24.00      0  76        1         0
#> 120   24.00      0  68        0         1
#> 147.1 24.00      0  76        1         0
#> 17    24.00      0  38        0         1
#> 103.1 24.00      0  56        1         0
#> 48.2  24.00      0  31        1         0
#> 7.1   24.00      0  37        1         0
#> 12    24.00      0  63        0         0
#> 156   24.00      0  50        1         0
#> 1.1   24.00      0  23        1         0
#> 2     24.00      0   9        0         0
#> 191   24.00      0  60        0         1
#> 135   24.00      0  58        1         0
#> 161   24.00      0  45        0         0
#> 17.1  24.00      0  38        0         1
#> 116   24.00      0  58        0         1
#> 83    24.00      0   6        0         0
#> 17.2  24.00      0  38        0         1
#> 64.1  24.00      0  43        0         0
#> 38    24.00      0  31        1         0
#> 62    24.00      0  71        0         0
#> 172   24.00      0  41        0         0
#> 173   24.00      0  19        0         1
#> 104.2 24.00      0  50        1         0
#> 109   24.00      0  48        0         0
#> 34.1  24.00      0  36        0         0
#> 103.2 24.00      0  56        1         0
#> 131   24.00      0  66        0         0
#> 1.2   24.00      0  23        1         0
#> 162   24.00      0  51        0         0
#> 191.1 24.00      0  60        0         1
#> 161.1 24.00      0  45        0         0
#> 104.3 24.00      0  50        1         0
#> 27    24.00      0  63        1         0
#> 147.2 24.00      0  76        1         0
#> 3     24.00      0  31        1         0
#> 196.1 24.00      0  19        0         0
#> 75    24.00      0  21        1         0
#> 146.1 24.00      0  63        1         0
#> 191.2 24.00      0  60        0         1
#> 138.1 24.00      0  44        1         0
#> 176   24.00      0  43        0         1
#> 198   24.00      0  66        0         1
#> 104.4 24.00      0  50        1         0
#> 38.1  24.00      0  31        1         0
#> 172.1 24.00      0  41        0         0
#> 176.1 24.00      0  43        0         1
#> 138.2 24.00      0  44        1         0
#> 185   24.00      0  44        1         0
#> 198.1 24.00      0  66        0         1
#> 172.2 24.00      0  41        0         0
#> 74.1  24.00      0  43        0         1
#> 33    24.00      0  53        0         0
#> 135.1 24.00      0  58        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.459          NA        NA      NA
#> 2 age, Cure model          0.00988        NA        NA      NA
#> 3 grade_ii, Cure model    -0.346          NA        NA      NA
#> 4 grade_iii, Cure model    0.753          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0109        NA        NA      NA
#> 2 grade_ii, Survival model    0.588         NA        NA      NA
#> 3 grade_iii, Survival model   0.697         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.458908          0.009878         -0.346078          0.753061  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    257.1 
#> Residual Deviance: 246.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.458908393      0.009878378     -0.346078479      0.753061122 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01093173       0.58833944       0.69667130 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.215155749 0.364792734 0.215155749 0.780030719 0.460810219 0.578765314
#>   [7] 0.344179449 0.439312308 0.126582228 0.811531409 0.396607314 0.948271283
#>  [13] 0.187021828 0.610458288 0.695781261 0.407298076 0.790610517 0.482445367
#>  [19] 0.136423084 0.050807598 0.061479957 0.769455824 0.896076557 0.375338485
#>  [25] 0.375338485 0.557557480 0.578765314 0.525340995 0.025574559 0.253377835
#>  [31] 0.234074234 0.832712184 0.642597607 0.864350304 0.061479957 0.758961626
#>  [37] 0.263257484 0.001409612 0.685170667 0.557557480 0.706373731 0.968949800
#>  [43] 0.885563344 0.407298076 0.025574559 0.916894259 0.303499431 0.927372015
#>  [49] 0.599857852 0.273211118 0.167047723 0.324011099 0.156760614 0.167047723
#>  [55] 0.324011099 0.187021828 0.006412824 0.025574559 0.621148015 0.006412824
#>  [61] 0.493151747 0.748402122 0.706373731 0.896076557 0.344179449 0.989614978
#>  [67] 0.948271283 0.088357387 0.790610517 0.853733372 0.098105732 0.642597607
#>  [73] 0.018272951 0.293344158 0.674522610 0.146537780 0.243653029 0.737850817
#>  [79] 0.546859443 0.108266817 0.503993169 0.108266817 0.937819604 0.874949427
#>  [85] 0.663807026 0.061479957 0.428608907 0.968949800 0.621148015 0.503993169
#>  [91] 0.187021828 0.273211118 0.536113650 0.822126276 0.471691108 0.727282389
#>  [97] 0.439312308 0.832712184 0.313774058 0.000000000 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    90     8  90.1    37   110     5   179   184    66    56   108    25    99 
#> 20.94 18.43 20.94 12.52 17.56 16.43 18.63 17.77 22.13 12.21 18.29  6.32 21.19 
#>   100    13    51    42   111   175   164   129   177   187    88  88.1    85 
#> 16.07 14.34 18.23 12.43 17.45 21.91 23.60 23.41 12.53  9.92 18.37 18.37 16.44 
#>   5.1   106   168   150    32    43    39    93 129.1   154   158    24    57 
#> 16.43 16.67 23.72 20.33 20.90 12.10 15.59 10.33 23.41 12.63 20.14 23.89 14.46 
#>   192    60    91   101  51.1 168.1    16    58   149   188   166   153    97 
#> 16.44 13.15  5.33  9.97 18.23 23.72  8.71 19.34  8.37 16.16 19.98 21.33 19.14 
#>   139 153.1  97.1    36    78 168.2     6  78.1    30   140  60.1 187.1 179.1 
#> 21.49 21.33 19.14 21.19 23.88 23.72 15.64 23.88 17.43 12.68 13.15  9.92 18.63 
#>   127  25.1    63  42.1    10    15  39.1    86   170    96   197    68   123 
#>  3.53  6.32 22.77 12.43 10.53 22.68 15.59 23.81 19.54 14.54 21.60 20.62 13.00 
#>   181   194    45 194.1    77   145    29 129.2    40  91.1   6.1  45.1  36.1 
#> 16.46 22.40 17.42 22.40  7.27 10.07 15.45 23.41 18.00  5.33 15.64 17.42 21.19 
#> 166.1   130    49   117   155 184.1  43.1    76   200   146    48    64    44 
#> 19.98 16.47 12.19 17.46 13.08 17.77 12.10 19.22 24.00 24.00 24.00 24.00 24.00 
#>   196   151    80    54    11   119   126    98     1    47    46   163   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71   178   104 178.1 104.1    74     7    22    94   103  94.1 163.1    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  48.1   143   147   120 147.1    17 103.1  48.2   7.1    12   156   1.1     2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   191   135   161  17.1   116    83  17.2  64.1    38    62   172   173 104.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   109  34.1 103.2   131   1.2   162 191.1 161.1 104.3    27 147.2     3 196.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75 146.1 191.2 138.1   176   198 104.4  38.1 172.1 176.1 138.2   185 198.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.2  74.1    33 135.1 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[84]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.005943019               0.398819462               0.124174444 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.577156272             0.004585949             0.506746406 
#>   grade_iii, Cure model 
#>             1.489183850 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 180   14.82      1  37        0         0
#> 124    9.73      1  NA        1         0
#> 76    19.22      1  54        0         1
#> 50    10.02      1  NA        1         0
#> 108   18.29      1  39        0         1
#> 30    17.43      1  78        0         0
#> 169   22.41      1  46        0         0
#> 117   17.46      1  26        0         1
#> 184   17.77      1  38        0         0
#> 66    22.13      1  53        0         0
#> 101    9.97      1  10        0         1
#> 26    15.77      1  49        0         1
#> 125   15.65      1  67        1         0
#> 187    9.92      1  39        1         0
#> 59    10.16      1  NA        1         0
#> 81    14.06      1  34        0         0
#> 36    21.19      1  48        0         1
#> 55    19.34      1  69        0         1
#> 170   19.54      1  43        0         1
#> 4     17.64      1  NA        0         1
#> 108.1 18.29      1  39        0         1
#> 40    18.00      1  28        1         0
#> 15    22.68      1  48        0         0
#> 40.1  18.00      1  28        1         0
#> 63    22.77      1  31        1         0
#> 55.1  19.34      1  69        0         1
#> 88    18.37      1  47        0         0
#> 14    12.89      1  21        0         0
#> 175   21.91      1  43        0         0
#> 101.1  9.97      1  10        0         1
#> 188   16.16      1  46        0         1
#> 171   16.57      1  41        0         1
#> 183    9.24      1  67        1         0
#> 88.1  18.37      1  47        0         0
#> 157   15.10      1  47        0         0
#> 69    23.23      1  25        0         1
#> 140   12.68      1  59        1         0
#> 43    12.10      1  61        0         1
#> 57    14.46      1  45        0         1
#> 81.1  14.06      1  34        0         0
#> 155   13.08      1  26        0         0
#> 57.1  14.46      1  45        0         1
#> 125.1 15.65      1  67        1         0
#> 157.1 15.10      1  47        0         0
#> 55.2  19.34      1  69        0         1
#> 70     7.38      1  30        1         0
#> 189   10.51      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 111   17.45      1  47        0         1
#> 117.1 17.46      1  26        0         1
#> 77     7.27      1  67        0         1
#> 97    19.14      1  65        0         1
#> 177   12.53      1  75        0         0
#> 197   21.60      1  69        1         0
#> 29    15.45      1  68        1         0
#> 79    16.23      1  54        1         0
#> 157.2 15.10      1  47        0         0
#> 8     18.43      1  32        0         0
#> 139   21.49      1  63        1         0
#> 145   10.07      1  65        1         0
#> 90    20.94      1  50        0         1
#> 90.1  20.94      1  50        0         1
#> 96    14.54      1  33        0         1
#> 16     8.71      1  71        0         1
#> 190   20.81      1  42        1         0
#> 149    8.37      1  33        1         0
#> 25     6.32      1  34        1         0
#> 10    10.53      1  34        0         0
#> 111.1 17.45      1  47        0         1
#> 158   20.14      1  74        1         0
#> 39    15.59      1  37        0         1
#> 150   20.33      1  48        0         0
#> 157.3 15.10      1  47        0         0
#> 66.1  22.13      1  53        0         0
#> 157.4 15.10      1  47        0         0
#> 18    15.21      1  49        1         0
#> 139.1 21.49      1  63        1         0
#> 192   16.44      1  31        1         0
#> 24    23.89      1  38        0         0
#> 136   21.83      1  43        0         1
#> 4.1   17.64      1  NA        0         1
#> 105   19.75      1  60        0         0
#> 85    16.44      1  36        0         0
#> 69.1  23.23      1  25        0         1
#> 10.1  10.53      1  34        0         0
#> 92    22.92      1  47        0         1
#> 187.1  9.92      1  39        1         0
#> 158.1 20.14      1  74        1         0
#> 97.1  19.14      1  65        0         1
#> 117.2 17.46      1  26        0         1
#> 134   17.81      1  47        1         0
#> 195   11.76      1  NA        1         0
#> 10.2  10.53      1  34        0         0
#> 25.1   6.32      1  34        1         0
#> 184.1 17.77      1  38        0         0
#> 149.1  8.37      1  33        1         0
#> 171.1 16.57      1  41        0         1
#> 89    11.44      1  NA        0         0
#> 128   20.35      1  35        0         1
#> 127    3.53      1  62        0         1
#> 127.1  3.53      1  62        0         1
#> 194   22.40      1  38        0         1
#> 139.2 21.49      1  63        1         0
#> 45    17.42      1  54        0         1
#> 40.2  18.00      1  28        1         0
#> 59.1  10.16      1  NA        1         0
#> 128.1 20.35      1  35        0         1
#> 197.1 21.60      1  69        1         0
#> 100   16.07      1  60        0         0
#> 78    23.88      1  43        0         0
#> 124.1  9.73      1  NA        1         0
#> 180.1 14.82      1  37        0         0
#> 95    24.00      0  68        0         1
#> 147   24.00      0  76        1         0
#> 21    24.00      0  47        0         0
#> 12    24.00      0  63        0         0
#> 135   24.00      0  58        1         0
#> 156   24.00      0  50        1         0
#> 156.1 24.00      0  50        1         0
#> 17    24.00      0  38        0         1
#> 67    24.00      0  25        0         0
#> 31    24.00      0  36        0         1
#> 1     24.00      0  23        1         0
#> 160   24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 28    24.00      0  67        1         0
#> 33    24.00      0  53        0         0
#> 182   24.00      0  35        0         0
#> 151   24.00      0  42        0         0
#> 73    24.00      0  NA        0         1
#> 109   24.00      0  48        0         0
#> 34    24.00      0  36        0         0
#> 7     24.00      0  37        1         0
#> 27    24.00      0  63        1         0
#> 62    24.00      0  71        0         0
#> 64    24.00      0  43        0         0
#> 73.1  24.00      0  NA        0         1
#> 160.1 24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 17.1  24.00      0  38        0         1
#> 174   24.00      0  49        1         0
#> 172   24.00      0  41        0         0
#> 11    24.00      0  42        0         1
#> 34.1  24.00      0  36        0         0
#> 120   24.00      0  68        0         1
#> 196   24.00      0  19        0         0
#> 87    24.00      0  27        0         0
#> 102   24.00      0  49        0         0
#> 47    24.00      0  38        0         1
#> 87.1  24.00      0  27        0         0
#> 27.1  24.00      0  63        1         0
#> 34.2  24.00      0  36        0         0
#> 162   24.00      0  51        0         0
#> 20    24.00      0  46        1         0
#> 193   24.00      0  45        0         1
#> 94    24.00      0  51        0         1
#> 38    24.00      0  31        1         0
#> 2     24.00      0   9        0         0
#> 165   24.00      0  47        0         0
#> 48    24.00      0  31        1         0
#> 156.2 24.00      0  50        1         0
#> 22    24.00      0  52        1         0
#> 3     24.00      0  31        1         0
#> 34.3  24.00      0  36        0         0
#> 102.1 24.00      0  49        0         0
#> 12.1  24.00      0  63        0         0
#> 34.4  24.00      0  36        0         0
#> 46    24.00      0  71        0         0
#> 87.2  24.00      0  27        0         0
#> 120.1 24.00      0  68        0         1
#> 64.1  24.00      0  43        0         0
#> 200   24.00      0  64        0         0
#> 126   24.00      0  48        0         0
#> 48.1  24.00      0  31        1         0
#> 142.1 24.00      0  53        0         0
#> 135.1 24.00      0  58        1         0
#> 21.1  24.00      0  47        0         0
#> 71.1  24.00      0  51        0         0
#> 67.1  24.00      0  25        0         0
#> 120.2 24.00      0  68        0         1
#> 35    24.00      0  51        0         0
#> 162.1 24.00      0  51        0         0
#> 38.1  24.00      0  31        1         0
#> 151.1 24.00      0  42        0         0
#> 94.1  24.00      0  51        0         1
#> 3.1   24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 185   24.00      0  44        1         0
#> 151.2 24.00      0  42        0         0
#> 71.2  24.00      0  51        0         0
#> 80.1  24.00      0  41        0         0
#> 83    24.00      0   6        0         0
#> 54    24.00      0  53        1         0
#> 200.1 24.00      0  64        0         0
#> 47.1  24.00      0  38        0         1
#> 83.1  24.00      0   6        0         0
#> 35.1  24.00      0  51        0         0
#> 131   24.00      0  66        0         0
#> 118   24.00      0  44        1         0
#> 44    24.00      0  56        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.577          NA        NA      NA
#> 2 age, Cure model          0.00459        NA        NA      NA
#> 3 grade_ii, Cure model     0.507          NA        NA      NA
#> 4 grade_iii, Cure model    1.49           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00594        NA        NA      NA
#> 2 grade_ii, Survival model   0.399          NA        NA      NA
#> 3 grade_iii, Survival model  0.124          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.577156          0.004586          0.506746          1.489184  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.3 
#> Residual Deviance: 242.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.577156272      0.004585949      0.506746406      1.489183850 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.005943019      0.398819462      0.124174444 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.679000562 0.286638705 0.346045729 0.474450386 0.061431666 0.425052408
#>   [7] 0.405238941 0.078356163 0.849657336 0.566188090 0.576523302 0.871221561
#>  [13] 0.731679443 0.157190537 0.258370807 0.248852068 0.346045729 0.366165071
#>  [19] 0.053287581 0.366165071 0.045442756 0.258370807 0.326045307 0.763594445
#>  [25] 0.095412720 0.849657336 0.545632554 0.494828997 0.892689215 0.326045307
#>  [31] 0.628034673 0.023104102 0.774315423 0.795795586 0.710579733 0.731679443
#>  [37] 0.752891100 0.710579733 0.576523302 0.628034673 0.258370807 0.935743816
#>  [43] 0.014760935 0.454485098 0.425052408 0.946486882 0.296448888 0.785029082
#>  [49] 0.113796006 0.607356193 0.535409906 0.628034673 0.316038984 0.131565271
#>  [55] 0.838787373 0.166322058 0.166322058 0.699992675 0.903488280 0.184391847
#>  [61] 0.914320692 0.957259254 0.806593072 0.454485098 0.221018382 0.597008062
#>  [67] 0.211671880 0.628034673 0.078356163 0.628034673 0.617705262 0.131565271
#>  [73] 0.515128737 0.002231382 0.104554395 0.239377982 0.515128737 0.023104102
#>  [79] 0.806593072 0.037264618 0.871221561 0.221018382 0.296448888 0.425052408
#>  [85] 0.395307543 0.806593072 0.957259254 0.405238941 0.914320692 0.494828997
#>  [91] 0.193585402 0.978579045 0.978579045 0.069843794 0.131565271 0.484620557
#>  [97] 0.366165071 0.193585402 0.113796006 0.555881823 0.007814567 0.679000562
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000
#> 
#> $Time
#>   180    76   108    30   169   117   184    66   101    26   125   187    81 
#> 14.82 19.22 18.29 17.43 22.41 17.46 17.77 22.13  9.97 15.77 15.65  9.92 14.06 
#>    36    55   170 108.1    40    15  40.1    63  55.1    88    14   175 101.1 
#> 21.19 19.34 19.54 18.29 18.00 22.68 18.00 22.77 19.34 18.37 12.89 21.91  9.97 
#>   188   171   183  88.1   157    69   140    43    57  81.1   155  57.1 125.1 
#> 16.16 16.57  9.24 18.37 15.10 23.23 12.68 12.10 14.46 14.06 13.08 14.46 15.65 
#> 157.1  55.2    70   168   111 117.1    77    97   177   197    29    79 157.2 
#> 15.10 19.34  7.38 23.72 17.45 17.46  7.27 19.14 12.53 21.60 15.45 16.23 15.10 
#>     8   139   145    90  90.1    96    16   190   149    25    10 111.1   158 
#> 18.43 21.49 10.07 20.94 20.94 14.54  8.71 20.81  8.37  6.32 10.53 17.45 20.14 
#>    39   150 157.3  66.1 157.4    18 139.1   192    24   136   105    85  69.1 
#> 15.59 20.33 15.10 22.13 15.10 15.21 21.49 16.44 23.89 21.83 19.75 16.44 23.23 
#>  10.1    92 187.1 158.1  97.1 117.2   134  10.2  25.1 184.1 149.1 171.1   128 
#> 10.53 22.92  9.92 20.14 19.14 17.46 17.81 10.53  6.32 17.77  8.37 16.57 20.35 
#>   127 127.1   194 139.2    45  40.2 128.1 197.1   100    78 180.1    95   147 
#>  3.53  3.53 22.40 21.49 17.42 18.00 20.35 21.60 16.07 23.88 14.82 24.00 24.00 
#>    21    12   135   156 156.1    17    67    31     1   160   142    28    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182   151   109    34     7    27    62    64 160.1    71  17.1   174   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    11  34.1   120   196    87   102    47  87.1  27.1  34.2   162    20   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94    38     2   165    48 156.2    22     3  34.3 102.1  12.1  34.4    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  87.2 120.1  64.1   200   126  48.1 142.1 135.1  21.1  71.1  67.1 120.2    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 162.1  38.1 151.1  94.1   3.1    80   185 151.2  71.2  80.1    83    54 200.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  47.1  83.1  35.1   131   118    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[85]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004849633               0.533163428               0.502377390 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.586249338             0.009734854             0.525264049 
#>   grade_iii, Cure model 
#>             0.465180092 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 13    14.34      1  54        0         1
#> 57    14.46      1  45        0         1
#> 170   19.54      1  43        0         1
#> 110   17.56      1  65        0         1
#> 190   20.81      1  42        1         0
#> 52    10.42      1  52        0         1
#> 110.1 17.56      1  65        0         1
#> 192   16.44      1  31        1         0
#> 43    12.10      1  61        0         1
#> 155   13.08      1  26        0         0
#> 139   21.49      1  63        1         0
#> 51    18.23      1  83        0         1
#> 58    19.34      1  39        0         0
#> 125   15.65      1  67        1         0
#> 105   19.75      1  60        0         0
#> 24    23.89      1  38        0         0
#> 140   12.68      1  59        1         0
#> 45    17.42      1  54        0         1
#> 36    21.19      1  48        0         1
#> 180   14.82      1  37        0         0
#> 139.1 21.49      1  63        1         0
#> 177   12.53      1  75        0         0
#> 69    23.23      1  25        0         1
#> 155.1 13.08      1  26        0         0
#> 111   17.45      1  47        0         1
#> 129   23.41      1  53        1         0
#> 39    15.59      1  37        0         1
#> 189   10.51      1  NA        1         0
#> 66    22.13      1  53        0         0
#> 81    14.06      1  34        0         0
#> 24.1  23.89      1  38        0         0
#> 32    20.90      1  37        1         0
#> 81.1  14.06      1  34        0         0
#> 168   23.72      1  70        0         0
#> 59    10.16      1  NA        1         0
#> 43.1  12.10      1  61        0         1
#> 24.2  23.89      1  38        0         0
#> 181   16.46      1  45        0         1
#> 42    12.43      1  49        0         1
#> 106   16.67      1  49        1         0
#> 8     18.43      1  32        0         0
#> 177.1 12.53      1  75        0         0
#> 157   15.10      1  47        0         0
#> 164   23.60      1  76        0         1
#> 86    23.81      1  58        0         1
#> 78    23.88      1  43        0         0
#> 56    12.21      1  60        0         0
#> 136   21.83      1  43        0         1
#> 40    18.00      1  28        1         0
#> 105.1 19.75      1  60        0         0
#> 140.1 12.68      1  59        1         0
#> 23    16.92      1  61        0         0
#> 197   21.60      1  69        1         0
#> 93    10.33      1  52        0         1
#> 88    18.37      1  47        0         0
#> 4     17.64      1  NA        0         1
#> 164.1 23.60      1  76        0         1
#> 108   18.29      1  39        0         1
#> 66.1  22.13      1  53        0         0
#> 16     8.71      1  71        0         1
#> 8.1   18.43      1  32        0         0
#> 39.1  15.59      1  37        0         1
#> 61    10.12      1  36        0         1
#> 180.1 14.82      1  37        0         0
#> 164.2 23.60      1  76        0         1
#> 70     7.38      1  30        1         0
#> 41    18.02      1  40        1         0
#> 108.1 18.29      1  39        0         1
#> 134   17.81      1  47        1         0
#> 4.1   17.64      1  NA        0         1
#> 110.2 17.56      1  65        0         1
#> 106.1 16.67      1  49        1         0
#> 52.1  10.42      1  52        0         1
#> 14    12.89      1  21        0         0
#> 125.1 15.65      1  67        1         0
#> 192.1 16.44      1  31        1         0
#> 96    14.54      1  33        0         1
#> 183    9.24      1  67        1         0
#> 188   16.16      1  46        0         1
#> 184   17.77      1  38        0         0
#> 133   14.65      1  57        0         0
#> 159   10.55      1  50        0         1
#> 133.1 14.65      1  57        0         0
#> 91     5.33      1  61        0         1
#> 188.1 16.16      1  46        0         1
#> 140.2 12.68      1  59        1         0
#> 92    22.92      1  47        0         1
#> 59.1  10.16      1  NA        1         0
#> 89    11.44      1  NA        0         0
#> 169   22.41      1  46        0         0
#> 24.3  23.89      1  38        0         0
#> 86.1  23.81      1  58        0         1
#> 16.1   8.71      1  71        0         1
#> 93.1  10.33      1  52        0         1
#> 60    13.15      1  38        1         0
#> 145   10.07      1  65        1         0
#> 130   16.47      1  53        0         1
#> 192.2 16.44      1  31        1         0
#> 85    16.44      1  36        0         0
#> 113   22.86      1  34        0         0
#> 150   20.33      1  48        0         0
#> 158   20.14      1  74        1         0
#> 59.2  10.16      1  NA        1         0
#> 175   21.91      1  43        0         0
#> 129.1 23.41      1  53        1         0
#> 41.1  18.02      1  40        1         0
#> 192.3 16.44      1  31        1         0
#> 41.2  18.02      1  40        1         0
#> 180.2 14.82      1  37        0         0
#> 36.1  21.19      1  48        0         1
#> 26    15.77      1  49        0         1
#> 195   11.76      1  NA        1         0
#> 34    24.00      0  36        0         0
#> 131   24.00      0  66        0         0
#> 98    24.00      0  34        1         0
#> 22    24.00      0  52        1         0
#> 38    24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 64    24.00      0  43        0         0
#> 1     24.00      0  23        1         0
#> 198   24.00      0  66        0         1
#> 19    24.00      0  57        0         1
#> 44    24.00      0  56        0         0
#> 191   24.00      0  60        0         1
#> 22.1  24.00      0  52        1         0
#> 191.1 24.00      0  60        0         1
#> 82    24.00      0  34        0         0
#> 116   24.00      0  58        0         1
#> 33    24.00      0  53        0         0
#> 193   24.00      0  45        0         1
#> 71    24.00      0  51        0         0
#> 152   24.00      0  36        0         1
#> 28    24.00      0  67        1         0
#> 142   24.00      0  53        0         0
#> 132   24.00      0  55        0         0
#> 64.1  24.00      0  43        0         0
#> 172   24.00      0  41        0         0
#> 21    24.00      0  47        0         0
#> 191.2 24.00      0  60        0         1
#> 163   24.00      0  66        0         0
#> 48    24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 19.1  24.00      0  57        0         1
#> 198.1 24.00      0  66        0         1
#> 132.1 24.00      0  55        0         0
#> 172.1 24.00      0  41        0         0
#> 112   24.00      0  61        0         0
#> 161   24.00      0  45        0         0
#> 20    24.00      0  46        1         0
#> 132.2 24.00      0  55        0         0
#> 87    24.00      0  27        0         0
#> 182   24.00      0  35        0         0
#> 165   24.00      0  47        0         0
#> 21.1  24.00      0  47        0         0
#> 120   24.00      0  68        0         1
#> 12    24.00      0  63        0         0
#> 103   24.00      0  56        1         0
#> 162   24.00      0  51        0         0
#> 172.2 24.00      0  41        0         0
#> 142.1 24.00      0  53        0         0
#> 17    24.00      0  38        0         1
#> 11    24.00      0  42        0         1
#> 165.1 24.00      0  47        0         0
#> 54    24.00      0  53        1         0
#> 143   24.00      0  51        0         0
#> 33.1  24.00      0  53        0         0
#> 126   24.00      0  48        0         0
#> 3     24.00      0  31        1         0
#> 2     24.00      0   9        0         0
#> 141   24.00      0  44        1         0
#> 143.1 24.00      0  51        0         0
#> 176.1 24.00      0  43        0         1
#> 95    24.00      0  68        0         1
#> 47    24.00      0  38        0         1
#> 64.2  24.00      0  43        0         0
#> 122   24.00      0  66        0         0
#> 98.1  24.00      0  34        1         0
#> 11.1  24.00      0  42        0         1
#> 193.1 24.00      0  45        0         1
#> 118   24.00      0  44        1         0
#> 198.2 24.00      0  66        0         1
#> 198.3 24.00      0  66        0         1
#> 116.1 24.00      0  58        0         1
#> 73    24.00      0  NA        0         1
#> 143.2 24.00      0  51        0         0
#> 116.2 24.00      0  58        0         1
#> 33.2  24.00      0  53        0         0
#> 17.1  24.00      0  38        0         1
#> 21.2  24.00      0  47        0         0
#> 151   24.00      0  42        0         0
#> 84    24.00      0  39        0         1
#> 152.1 24.00      0  36        0         1
#> 9     24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 104   24.00      0  50        1         0
#> 9.1   24.00      0  31        1         0
#> 112.1 24.00      0  61        0         0
#> 173   24.00      0  19        0         1
#> 87.1  24.00      0  27        0         0
#> 48.1  24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.586          NA        NA      NA
#> 2 age, Cure model          0.00973        NA        NA      NA
#> 3 grade_ii, Cure model     0.525          NA        NA      NA
#> 4 grade_iii, Cure model    0.465          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00485        NA        NA      NA
#> 2 grade_ii, Survival model   0.533          NA        NA      NA
#> 3 grade_iii, Survival model  0.502          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.586249          0.009735          0.525264          0.465180  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 259.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.586249338      0.009734854      0.525264049      0.465180092 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004849633      0.533163428      0.502377390 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.75931542 0.75056429 0.35330691 0.49139931 0.30305401 0.90665162
#>   [7] 0.49139931 0.58463399 0.88074594 0.79415991 0.25187611 0.42384159
#>  [13] 0.36339417 0.65471963 0.33322745 0.01537862 0.82027720 0.52880175
#>  [19] 0.27262113 0.69821624 0.25187611 0.84600018 0.15480311 0.79415991
#>  [25] 0.51936265 0.13335630 0.67219012 0.19752990 0.76803922 0.01537862
#>  [31] 0.29288985 0.76803922 0.08809971 0.88074594 0.01537862 0.57540279
#>  [37] 0.86334469 0.54763098 0.37352994 0.84600018 0.68948926 0.10094796
#>  [43] 0.06516793 0.05117943 0.87203436 0.23011299 0.46253849 0.33322745
#>  [49] 0.82027720 0.53819528 0.24104844 0.92377003 0.39368173 0.10094796
#>  [55] 0.40394422 0.19752990 0.96631367 0.37352994 0.67219012 0.94079875
#>  [61] 0.69821624 0.10094796 0.98316297 0.43388482 0.40394422 0.47219467
#>  [67] 0.49139931 0.54763098 0.90665162 0.81153403 0.65471963 0.58463399
#>  [73] 0.74177949 0.95782652 0.62822010 0.48178089 0.72422961 0.89800500
#>  [79] 0.72422961 0.99158968 0.62822010 0.82027720 0.16556775 0.18676158
#>  [85] 0.01537862 0.06516793 0.96631367 0.92377003 0.78544752 0.94932193
#>  [91] 0.56612267 0.58463399 0.58463399 0.17611612 0.31308690 0.32318703
#>  [97] 0.21899724 0.13335630 0.43388482 0.58463399 0.43388482 0.69821624
#> [103] 0.27262113 0.64587030 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    13    57   170   110   190    52 110.1   192    43   155   139    51    58 
#> 14.34 14.46 19.54 17.56 20.81 10.42 17.56 16.44 12.10 13.08 21.49 18.23 19.34 
#>   125   105    24   140    45    36   180 139.1   177    69 155.1   111   129 
#> 15.65 19.75 23.89 12.68 17.42 21.19 14.82 21.49 12.53 23.23 13.08 17.45 23.41 
#>    39    66    81  24.1    32  81.1   168  43.1  24.2   181    42   106     8 
#> 15.59 22.13 14.06 23.89 20.90 14.06 23.72 12.10 23.89 16.46 12.43 16.67 18.43 
#> 177.1   157   164    86    78    56   136    40 105.1 140.1    23   197    93 
#> 12.53 15.10 23.60 23.81 23.88 12.21 21.83 18.00 19.75 12.68 16.92 21.60 10.33 
#>    88 164.1   108  66.1    16   8.1  39.1    61 180.1 164.2    70    41 108.1 
#> 18.37 23.60 18.29 22.13  8.71 18.43 15.59 10.12 14.82 23.60  7.38 18.02 18.29 
#>   134 110.2 106.1  52.1    14 125.1 192.1    96   183   188   184   133   159 
#> 17.81 17.56 16.67 10.42 12.89 15.65 16.44 14.54  9.24 16.16 17.77 14.65 10.55 
#> 133.1    91 188.1 140.2    92   169  24.3  86.1  16.1  93.1    60   145   130 
#> 14.65  5.33 16.16 12.68 22.92 22.41 23.89 23.81  8.71 10.33 13.15 10.07 16.47 
#> 192.2    85   113   150   158   175 129.1  41.1 192.3  41.2 180.2  36.1    26 
#> 16.44 16.44 22.86 20.33 20.14 21.91 23.41 18.02 16.44 18.02 14.82 21.19 15.77 
#>    34   131    98    22    38    53    64     1   198    19    44   191  22.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 191.1    82   116    33   193    71   152    28   142   132  64.1   172    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 191.2   163    48   176  19.1 198.1 132.1 172.1   112   161    20 132.2    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182   165  21.1   120    12   103   162 172.2 142.1    17    11 165.1    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143  33.1   126     3     2   141 143.1 176.1    95    47  64.2   122  98.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  11.1 193.1   118 198.2 198.3 116.1 143.2 116.2  33.2  17.1  21.2   151    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 152.1     9   178   104   9.1 112.1   173  87.1  48.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[86]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01098683                0.79125168                0.70593887 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.139230619             0.002291625             0.120851229 
#>   grade_iii, Cure model 
#>             0.749070435 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 16     8.71      1  71        0         1
#> 190   20.81      1  42        1         0
#> 139   21.49      1  63        1         0
#> 166   19.98      1  48        0         0
#> 117   17.46      1  26        0         1
#> 41    18.02      1  40        1         0
#> 41.1  18.02      1  40        1         0
#> 113   22.86      1  34        0         0
#> 60    13.15      1  38        1         0
#> 170   19.54      1  43        0         1
#> 40    18.00      1  28        1         0
#> 41.2  18.02      1  40        1         0
#> 168   23.72      1  70        0         0
#> 36    21.19      1  48        0         1
#> 177   12.53      1  75        0         0
#> 183    9.24      1  67        1         0
#> 129   23.41      1  53        1         0
#> 8     18.43      1  32        0         0
#> 155   13.08      1  26        0         0
#> 171   16.57      1  41        0         1
#> 96    14.54      1  33        0         1
#> 49    12.19      1  48        1         0
#> 192   16.44      1  31        1         0
#> 157   15.10      1  47        0         0
#> 97    19.14      1  65        0         1
#> 188   16.16      1  46        0         1
#> 111   17.45      1  47        0         1
#> 153   21.33      1  55        1         0
#> 4     17.64      1  NA        0         1
#> 179   18.63      1  42        0         0
#> 130   16.47      1  53        0         1
#> 128   20.35      1  35        0         1
#> 41.3  18.02      1  40        1         0
#> 8.1   18.43      1  32        0         0
#> 189   10.51      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 194   22.40      1  38        0         1
#> 61    10.12      1  36        0         1
#> 100   16.07      1  60        0         0
#> 194.1 22.40      1  38        0         1
#> 157.1 15.10      1  47        0         0
#> 127    3.53      1  62        0         1
#> 45    17.42      1  54        0         1
#> 169   22.41      1  46        0         0
#> 194.2 22.40      1  38        0         1
#> 97.1  19.14      1  65        0         1
#> 66    22.13      1  53        0         0
#> 127.1  3.53      1  62        0         1
#> 184   17.77      1  38        0         0
#> 188.1 16.16      1  46        0         1
#> 136   21.83      1  43        0         1
#> 81    14.06      1  34        0         0
#> 175   21.91      1  43        0         0
#> 63    22.77      1  31        1         0
#> 43    12.10      1  61        0         1
#> 15    22.68      1  48        0         0
#> 45.1  17.42      1  54        0         1
#> 60.1  13.15      1  38        1         0
#> 29    15.45      1  68        1         0
#> 25     6.32      1  34        1         0
#> 90    20.94      1  50        0         1
#> 24    23.89      1  38        0         0
#> 157.2 15.10      1  47        0         0
#> 199   19.81      1  NA        0         1
#> 167   15.55      1  56        1         0
#> 127.2  3.53      1  62        0         1
#> 61.1  10.12      1  36        0         1
#> 29.1  15.45      1  68        1         0
#> 139.1 21.49      1  63        1         0
#> 153.1 21.33      1  55        1         0
#> 29.2  15.45      1  68        1         0
#> 169.1 22.41      1  46        0         0
#> 40.1  18.00      1  28        1         0
#> 43.1  12.10      1  61        0         1
#> 70     7.38      1  30        1         0
#> 81.1  14.06      1  34        0         0
#> 77     7.27      1  67        0         1
#> 187    9.92      1  39        1         0
#> 45.2  17.42      1  54        0         1
#> 70.1   7.38      1  30        1         0
#> 136.1 21.83      1  43        0         1
#> 192.1 16.44      1  31        1         0
#> 16.1   8.71      1  71        0         1
#> 24.1  23.89      1  38        0         0
#> 110   17.56      1  65        0         1
#> 37    12.52      1  57        1         0
#> 159   10.55      1  50        0         1
#> 128.1 20.35      1  35        0         1
#> 70.2   7.38      1  30        1         0
#> 166.1 19.98      1  48        0         0
#> 91     5.33      1  61        0         1
#> 167.1 15.55      1  56        1         0
#> 81.2  14.06      1  34        0         0
#> 76    19.22      1  54        0         1
#> 85    16.44      1  36        0         0
#> 69    23.23      1  25        0         1
#> 61.2  10.12      1  36        0         1
#> 91.1   5.33      1  61        0         1
#> 49.1  12.19      1  48        1         0
#> 88    18.37      1  47        0         0
#> 111.1 17.45      1  47        0         1
#> 50    10.02      1  NA        1         0
#> 149    8.37      1  33        1         0
#> 157.3 15.10      1  47        0         0
#> 169.2 22.41      1  46        0         0
#> 168.1 23.72      1  70        0         0
#> 194.3 22.40      1  38        0         1
#> 5     16.43      1  51        0         1
#> 136.2 21.83      1  43        0         1
#> 79    16.23      1  54        1         0
#> 192.2 16.44      1  31        1         0
#> 41.4  18.02      1  40        1         0
#> 33    24.00      0  53        0         0
#> 9     24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 147   24.00      0  76        1         0
#> 7     24.00      0  37        1         0
#> 11    24.00      0  42        0         1
#> 146   24.00      0  63        1         0
#> 46    24.00      0  71        0         0
#> 95    24.00      0  68        0         1
#> 120   24.00      0  68        0         1
#> 119   24.00      0  17        0         0
#> 119.1 24.00      0  17        0         0
#> 73    24.00      0  NA        0         1
#> 73.1  24.00      0  NA        0         1
#> 112   24.00      0  61        0         0
#> 122   24.00      0  66        0         0
#> 142   24.00      0  53        0         0
#> 47    24.00      0  38        0         1
#> 11.1  24.00      0  42        0         1
#> 138.1 24.00      0  44        1         0
#> 7.1   24.00      0  37        1         0
#> 148   24.00      0  61        1         0
#> 104   24.00      0  50        1         0
#> 143   24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 144   24.00      0  28        0         1
#> 48    24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 71    24.00      0  51        0         0
#> 147.1 24.00      0  76        1         0
#> 31    24.00      0  36        0         1
#> 35    24.00      0  51        0         0
#> 163   24.00      0  66        0         0
#> 84    24.00      0  39        0         1
#> 46.1  24.00      0  71        0         0
#> 28.1  24.00      0  67        1         0
#> 174   24.00      0  49        1         0
#> 82    24.00      0  34        0         0
#> 94    24.00      0  51        0         1
#> 75    24.00      0  21        1         0
#> 131   24.00      0  66        0         0
#> 118   24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 64    24.00      0  43        0         0
#> 132   24.00      0  55        0         0
#> 144.1 24.00      0  28        0         1
#> 146.1 24.00      0  63        1         0
#> 144.2 24.00      0  28        0         1
#> 71.1  24.00      0  51        0         0
#> 46.2  24.00      0  71        0         0
#> 104.1 24.00      0  50        1         0
#> 116   24.00      0  58        0         1
#> 162   24.00      0  51        0         0
#> 176   24.00      0  43        0         1
#> 182   24.00      0  35        0         0
#> 173   24.00      0  19        0         1
#> 165   24.00      0  47        0         0
#> 160   24.00      0  31        1         0
#> 28.2  24.00      0  67        1         0
#> 118.1 24.00      0  44        1         0
#> 148.1 24.00      0  61        1         0
#> 83    24.00      0   6        0         0
#> 84.1  24.00      0  39        0         1
#> 200   24.00      0  64        0         0
#> 182.1 24.00      0  35        0         0
#> 64.1  24.00      0  43        0         0
#> 104.2 24.00      0  50        1         0
#> 186   24.00      0  45        1         0
#> 17.1  24.00      0  38        0         1
#> 73.2  24.00      0  NA        0         1
#> 67    24.00      0  25        0         0
#> 176.1 24.00      0  43        0         1
#> 115   24.00      0  NA        1         0
#> 62    24.00      0  71        0         0
#> 19    24.00      0  57        0         1
#> 182.2 24.00      0  35        0         0
#> 94.1  24.00      0  51        0         1
#> 7.2   24.00      0  37        1         0
#> 7.3   24.00      0  37        1         0
#> 83.1  24.00      0   6        0         0
#> 20    24.00      0  46        1         0
#> 186.1 24.00      0  45        1         0
#> 21    24.00      0  47        0         0
#> 65.1  24.00      0  57        1         0
#> 98    24.00      0  34        1         0
#> 34    24.00      0  36        0         0
#> 173.1 24.00      0  19        0         1
#> 146.2 24.00      0  63        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.139          NA        NA      NA
#> 2 age, Cure model          0.00229        NA        NA      NA
#> 3 grade_ii, Cure model     0.121          NA        NA      NA
#> 4 grade_iii, Cure model    0.749          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0110        NA        NA      NA
#> 2 grade_ii, Survival model    0.791         NA        NA      NA
#> 3 grade_iii, Survival model   0.706         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.139231          0.002292          0.120851          0.749070  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    263.2 
#> Residual Deviance: 258.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.139230619      0.002291625      0.120851229      0.749070435 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01098683       0.79125168       0.70593887 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.9586717 0.6217717 0.5678102 0.6449890 0.7655338 0.7139644 0.7139644
#>   [8] 0.3432706 0.9041799 0.6599353 0.7429322 0.7139644 0.2228275 0.6048921
#>  [15] 0.9156858 0.9552596 0.2924921 0.6943109 0.9118487 0.8017184 0.8885236
#>  [22] 0.9232703 0.8114842 0.8727167 0.6743833 0.8390497 0.7710187 0.5872379
#>  [29] 0.6876720 0.8066401 0.6297982 0.7139644 0.6943109 0.7815906 0.4575681
#>  [36] 0.9413809 0.8478324 0.4575681 0.8727167 0.9909240 0.7868461 0.4061920
#>  [43] 0.4575681 0.6743833 0.5090871 0.9909240 0.7542989 0.8390497 0.5351441
#>  [50] 0.8924682 0.5222137 0.3662694 0.9306264 0.3865883 0.7868461 0.9041799
#>  [57] 0.8606868 0.9815120 0.6134775 0.1153195 0.8727167 0.8522140 0.9909240
#>  [64] 0.9413809 0.8606868 0.5678102 0.5872379 0.8606868 0.4061920 0.7429322
#>  [71] 0.9306264 0.9686282 0.8924682 0.9783087 0.9518030 0.7868461 0.9686282
#>  [78] 0.5351441 0.8114842 0.9586717 0.1153195 0.7599815 0.9195025 0.9378144
#>  [85] 0.6297982 0.9686282 0.6449890 0.9846924 0.8522140 0.8924682 0.6672635
#>  [92] 0.8114842 0.3195531 0.9413809 0.9846924 0.9232703 0.7074203 0.7710187
#>  [99] 0.9653221 0.8727167 0.4061920 0.2228275 0.4575681 0.8299462 0.5351441
#> [106] 0.8345351 0.8114842 0.7139644 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [190] 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>    16   190   139   166   117    41  41.1   113    60   170    40  41.2   168 
#>  8.71 20.81 21.49 19.98 17.46 18.02 18.02 22.86 13.15 19.54 18.00 18.02 23.72 
#>    36   177   183   129     8   155   171    96    49   192   157    97   188 
#> 21.19 12.53  9.24 23.41 18.43 13.08 16.57 14.54 12.19 16.44 15.10 19.14 16.16 
#>   111   153   179   130   128  41.3   8.1    30   194    61   100 194.1 157.1 
#> 17.45 21.33 18.63 16.47 20.35 18.02 18.43 17.43 22.40 10.12 16.07 22.40 15.10 
#>   127    45   169 194.2  97.1    66 127.1   184 188.1   136    81   175    63 
#>  3.53 17.42 22.41 22.40 19.14 22.13  3.53 17.77 16.16 21.83 14.06 21.91 22.77 
#>    43    15  45.1  60.1    29    25    90    24 157.2   167 127.2  61.1  29.1 
#> 12.10 22.68 17.42 13.15 15.45  6.32 20.94 23.89 15.10 15.55  3.53 10.12 15.45 
#> 139.1 153.1  29.2 169.1  40.1  43.1    70  81.1    77   187  45.2  70.1 136.1 
#> 21.49 21.33 15.45 22.41 18.00 12.10  7.38 14.06  7.27  9.92 17.42  7.38 21.83 
#> 192.1  16.1  24.1   110    37   159 128.1  70.2 166.1    91 167.1  81.2    76 
#> 16.44  8.71 23.89 17.56 12.52 10.55 20.35  7.38 19.98  5.33 15.55 14.06 19.22 
#>    85    69  61.2  91.1  49.1    88 111.1   149 157.3 169.2 168.1 194.3     5 
#> 16.44 23.23 10.12  5.33 12.19 18.37 17.45  8.37 15.10 22.41 23.72 22.40 16.43 
#> 136.2    79 192.2  41.4    33     9   138   147     7    11   146    46    95 
#> 21.83 16.23 16.44 18.02 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120   119 119.1   112   122   142    47  11.1 138.1   7.1   148   104   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    17   144    48    28    71 147.1    31    35   163    84  46.1  28.1   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    82    94    75   131   118    65    64   132 144.1 146.1 144.2  71.1  46.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 104.1   116   162   176   182   173   165   160  28.2 118.1 148.1    83  84.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200 182.1  64.1 104.2   186  17.1    67 176.1    62    19 182.2  94.1   7.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   7.3  83.1    20 186.1    21  65.1    98    34 173.1 146.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[87]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.008573185               0.965185355               0.588485426 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.528712943             0.008600349            -0.062365088 
#>   grade_iii, Cure model 
#>             0.897130990 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 24    23.89      1  38        0         0
#> 13    14.34      1  54        0         1
#> 184   17.77      1  38        0         0
#> 90    20.94      1  50        0         1
#> 184.1 17.77      1  38        0         0
#> 140   12.68      1  59        1         0
#> 4     17.64      1  NA        0         1
#> 149    8.37      1  33        1         0
#> 4.1   17.64      1  NA        0         1
#> 79    16.23      1  54        1         0
#> 77     7.27      1  67        0         1
#> 25     6.32      1  34        1         0
#> 88    18.37      1  47        0         0
#> 150   20.33      1  48        0         0
#> 52    10.42      1  52        0         1
#> 194   22.40      1  38        0         1
#> 157   15.10      1  47        0         0
#> 51    18.23      1  83        0         1
#> 187    9.92      1  39        1         0
#> 108   18.29      1  39        0         1
#> 110   17.56      1  65        0         1
#> 195   11.76      1  NA        1         0
#> 170   19.54      1  43        0         1
#> 16     8.71      1  71        0         1
#> 57    14.46      1  45        0         1
#> 93    10.33      1  52        0         1
#> 56    12.21      1  60        0         0
#> 55    19.34      1  69        0         1
#> 111   17.45      1  47        0         1
#> 199   19.81      1  NA        0         1
#> 145   10.07      1  65        1         0
#> 168   23.72      1  70        0         0
#> 96    14.54      1  33        0         1
#> 101    9.97      1  10        0         1
#> 32    20.90      1  37        1         0
#> 159   10.55      1  50        0         1
#> 52.1  10.42      1  52        0         1
#> 187.1  9.92      1  39        1         0
#> 85    16.44      1  36        0         0
#> 77.1   7.27      1  67        0         1
#> 89    11.44      1  NA        0         0
#> 150.1 20.33      1  48        0         0
#> 194.1 22.40      1  38        0         1
#> 124    9.73      1  NA        1         0
#> 18    15.21      1  49        1         0
#> 157.1 15.10      1  47        0         0
#> 8     18.43      1  32        0         0
#> 190   20.81      1  42        1         0
#> 188   16.16      1  46        0         1
#> 157.2 15.10      1  47        0         0
#> 171   16.57      1  41        0         1
#> 149.1  8.37      1  33        1         0
#> 134   17.81      1  47        1         0
#> 92    22.92      1  47        0         1
#> 188.1 16.16      1  46        0         1
#> 23    16.92      1  61        0         0
#> 100   16.07      1  60        0         0
#> 57.1  14.46      1  45        0         1
#> 153   21.33      1  55        1         0
#> 171.1 16.57      1  41        0         1
#> 110.1 17.56      1  65        0         1
#> 154   12.63      1  20        1         0
#> 23.1  16.92      1  61        0         0
#> 66    22.13      1  53        0         0
#> 99    21.19      1  38        0         1
#> 159.1 10.55      1  50        0         1
#> 16.1   8.71      1  71        0         1
#> 25.1   6.32      1  34        1         0
#> 170.1 19.54      1  43        0         1
#> 125   15.65      1  67        1         0
#> 169   22.41      1  46        0         0
#> 194.2 22.40      1  38        0         1
#> 168.1 23.72      1  70        0         0
#> 184.2 17.77      1  38        0         0
#> 24.1  23.89      1  38        0         0
#> 145.1 10.07      1  65        1         0
#> 189   10.51      1  NA        1         0
#> 60    13.15      1  38        1         0
#> 13.1  14.34      1  54        0         1
#> 190.1 20.81      1  42        1         0
#> 8.1   18.43      1  32        0         0
#> 99.1  21.19      1  38        0         1
#> 157.3 15.10      1  47        0         0
#> 43    12.10      1  61        0         1
#> 111.1 17.45      1  47        0         1
#> 42    12.43      1  49        0         1
#> 37    12.52      1  57        1         0
#> 167   15.55      1  56        1         0
#> 23.2  16.92      1  61        0         0
#> 105   19.75      1  60        0         0
#> 49    12.19      1  48        1         0
#> 25.2   6.32      1  34        1         0
#> 175   21.91      1  43        0         0
#> 85.1  16.44      1  36        0         0
#> 69    23.23      1  25        0         1
#> 145.2 10.07      1  65        1         0
#> 56.1  12.21      1  60        0         0
#> 159.2 10.55      1  50        0         1
#> 99.2  21.19      1  38        0         1
#> 175.1 21.91      1  43        0         0
#> 93.1  10.33      1  52        0         1
#> 139   21.49      1  63        1         0
#> 90.1  20.94      1  50        0         1
#> 36    21.19      1  48        0         1
#> 128   20.35      1  35        0         1
#> 4.2   17.64      1  NA        0         1
#> 57.2  14.46      1  45        0         1
#> 159.3 10.55      1  50        0         1
#> 181   16.46      1  45        0         1
#> 68    20.62      1  44        0         0
#> 43.1  12.10      1  61        0         1
#> 158   20.14      1  74        1         0
#> 65    24.00      0  57        1         0
#> 196   24.00      0  19        0         0
#> 163   24.00      0  66        0         0
#> 200   24.00      0  64        0         0
#> 1     24.00      0  23        1         0
#> 148   24.00      0  61        1         0
#> 44    24.00      0  56        0         0
#> 27    24.00      0  63        1         0
#> 156   24.00      0  50        1         0
#> 17    24.00      0  38        0         1
#> 19    24.00      0  57        0         1
#> 83    24.00      0   6        0         0
#> 2     24.00      0   9        0         0
#> 44.1  24.00      0  56        0         0
#> 19.1  24.00      0  57        0         1
#> 7     24.00      0  37        1         0
#> 147   24.00      0  76        1         0
#> 12    24.00      0  63        0         0
#> 74    24.00      0  43        0         1
#> 28    24.00      0  67        1         0
#> 83.1  24.00      0   6        0         0
#> 174   24.00      0  49        1         0
#> 160   24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 19.2  24.00      0  57        0         1
#> 178   24.00      0  52        1         0
#> 82    24.00      0  34        0         0
#> 20    24.00      0  46        1         0
#> 198   24.00      0  66        0         1
#> 165   24.00      0  47        0         0
#> 109   24.00      0  48        0         0
#> 11    24.00      0  42        0         1
#> 193   24.00      0  45        0         1
#> 19.3  24.00      0  57        0         1
#> 31    24.00      0  36        0         1
#> 38    24.00      0  31        1         0
#> 121   24.00      0  57        1         0
#> 200.1 24.00      0  64        0         0
#> 185   24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 112.1 24.00      0  61        0         0
#> 65.1  24.00      0  57        1         0
#> 20.1  24.00      0  46        1         0
#> 176   24.00      0  43        0         1
#> 64    24.00      0  43        0         0
#> 121.1 24.00      0  57        1         0
#> 31.1  24.00      0  36        0         1
#> 152   24.00      0  36        0         1
#> 82.1  24.00      0  34        0         0
#> 143   24.00      0  51        0         0
#> 38.1  24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 33    24.00      0  53        0         0
#> 3     24.00      0  31        1         0
#> 132   24.00      0  55        0         0
#> 54    24.00      0  53        1         0
#> 74.1  24.00      0  43        0         1
#> 27.1  24.00      0  63        1         0
#> 12.1  24.00      0  63        0         0
#> 46    24.00      0  71        0         0
#> 98    24.00      0  34        1         0
#> 109.1 24.00      0  48        0         0
#> 126   24.00      0  48        0         0
#> 48    24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 104   24.00      0  50        1         0
#> 12.2  24.00      0  63        0         0
#> 115   24.00      0  NA        1         0
#> 131   24.00      0  66        0         0
#> 72    24.00      0  40        0         1
#> 186   24.00      0  45        1         0
#> 138   24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 146   24.00      0  63        1         0
#> 116   24.00      0  58        0         1
#> 182   24.00      0  35        0         0
#> 84.1  24.00      0  39        0         1
#> 67    24.00      0  25        0         0
#> 109.2 24.00      0  48        0         0
#> 103   24.00      0  56        1         0
#> 47    24.00      0  38        0         1
#> 7.1   24.00      0  37        1         0
#> 67.1  24.00      0  25        0         0
#> 65.2  24.00      0  57        1         0
#> 95    24.00      0  68        0         1
#> 132.1 24.00      0  55        0         0
#> 173   24.00      0  19        0         1
#> 126.1 24.00      0  48        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.529          NA        NA      NA
#> 2 age, Cure model          0.00860        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0624         NA        NA      NA
#> 4 grade_iii, Cure model    0.897          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00857        NA        NA      NA
#> 2 grade_ii, Survival model   0.965          NA        NA      NA
#> 3 grade_iii, Survival model  0.588          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.52871           0.00860          -0.06237           0.89713  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 253.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.528712943      0.008600349     -0.062365088      0.897130990 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.008573185      0.965185355      0.588485426 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.08893498 0.85425914 0.67829743 0.50934085 0.67829743 0.86900348
#>   [7] 0.97472827 0.77378741 0.98212439 0.98940001 0.64913478 0.57683683
#>  [13] 0.92717216 0.33143573 0.81311961 0.66410551 0.95951366 0.65668483
#>  [19] 0.69879944 0.61074278 0.96719009 0.83917471 0.93555090 0.88777315
#>  [25] 0.62638305 0.71197955 0.94379576 0.18307004 0.83396062 0.95558370
#>  [31] 0.53046235 0.91021381 0.92717216 0.95951366 0.76178898 0.98212439
#>  [37] 0.57683683 0.33143573 0.80779008 0.81311961 0.63403587 0.54059929
#>  [43] 0.77966500 0.81311961 0.74350358 0.97472827 0.67131125 0.28070189
#>  [49] 0.77966500 0.72475868 0.79108897 0.83917471 0.45110838 0.74350358
#>  [55] 0.69879944 0.87378861 0.72475868 0.38419255 0.46478179 0.91021381
#>  [61] 0.96719009 0.98940001 0.61074278 0.79679392 0.30657508 0.33143573
#>  [67] 0.18307004 0.67829743 0.08893498 0.94379576 0.86412832 0.85425914
#>  [73] 0.54059929 0.63403587 0.46478179 0.81311961 0.90140365 0.71197955
#>  [79] 0.88316715 0.87851892 0.80235309 0.72475868 0.60253246 0.89689775
#>  [85] 0.98940001 0.40215464 0.76178898 0.25004540 0.94379576 0.88777315
#>  [91] 0.91021381 0.46478179 0.40215464 0.93555090 0.43596297 0.50934085
#>  [97] 0.46478179 0.56792754 0.83917471 0.91021381 0.75573133 0.55881357
#> [103] 0.90140365 0.59424620 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    24    13   184    90 184.1   140   149    79    77    25    88   150    52 
#> 23.89 14.34 17.77 20.94 17.77 12.68  8.37 16.23  7.27  6.32 18.37 20.33 10.42 
#>   194   157    51   187   108   110   170    16    57    93    56    55   111 
#> 22.40 15.10 18.23  9.92 18.29 17.56 19.54  8.71 14.46 10.33 12.21 19.34 17.45 
#>   145   168    96   101    32   159  52.1 187.1    85  77.1 150.1 194.1    18 
#> 10.07 23.72 14.54  9.97 20.90 10.55 10.42  9.92 16.44  7.27 20.33 22.40 15.21 
#> 157.1     8   190   188 157.2   171 149.1   134    92 188.1    23   100  57.1 
#> 15.10 18.43 20.81 16.16 15.10 16.57  8.37 17.81 22.92 16.16 16.92 16.07 14.46 
#>   153 171.1 110.1   154  23.1    66    99 159.1  16.1  25.1 170.1   125   169 
#> 21.33 16.57 17.56 12.63 16.92 22.13 21.19 10.55  8.71  6.32 19.54 15.65 22.41 
#> 194.2 168.1 184.2  24.1 145.1    60  13.1 190.1   8.1  99.1 157.3    43 111.1 
#> 22.40 23.72 17.77 23.89 10.07 13.15 14.34 20.81 18.43 21.19 15.10 12.10 17.45 
#>    42    37   167  23.2   105    49  25.2   175  85.1    69 145.2  56.1 159.2 
#> 12.43 12.52 15.55 16.92 19.75 12.19  6.32 21.91 16.44 23.23 10.07 12.21 10.55 
#>  99.2 175.1  93.1   139  90.1    36   128  57.2 159.3   181    68  43.1   158 
#> 21.19 21.91 10.33 21.49 20.94 21.19 20.35 14.46 10.55 16.46 20.62 12.10 20.14 
#>    65   196   163   200     1   148    44    27   156    17    19    83     2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  44.1  19.1     7   147    12    74    28  83.1   174   160    80  19.2   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    82    20   198   165   109    11   193  19.3    31    38   121 200.1   185 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112 112.1  65.1  20.1   176    64 121.1  31.1   152  82.1   143  38.1   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33     3   132    54  74.1  27.1  12.1    46    98 109.1   126    48   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104  12.2   131    72   186   138    84   146   116   182  84.1    67 109.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103    47   7.1  67.1  65.2    95 132.1   173 126.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[88]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003371053               0.599480054               0.195395774 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.470172672             0.004796185             0.158816975 
#>   grade_iii, Cure model 
#>             1.401393422 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 39    15.59      1  37        0         1
#> 36    21.19      1  48        0         1
#> 52    10.42      1  52        0         1
#> 181   16.46      1  45        0         1
#> 26    15.77      1  49        0         1
#> 40    18.00      1  28        1         0
#> 99    21.19      1  38        0         1
#> 100   16.07      1  60        0         0
#> 113   22.86      1  34        0         0
#> 68    20.62      1  44        0         0
#> 181.1 16.46      1  45        0         1
#> 149    8.37      1  33        1         0
#> 197   21.60      1  69        1         0
#> 111   17.45      1  47        0         1
#> 97    19.14      1  65        0         1
#> 90    20.94      1  50        0         1
#> 36.1  21.19      1  48        0         1
#> 58    19.34      1  39        0         0
#> 77     7.27      1  67        0         1
#> 124    9.73      1  NA        1         0
#> 56    12.21      1  60        0         0
#> 13    14.34      1  54        0         1
#> 4     17.64      1  NA        0         1
#> 51    18.23      1  83        0         1
#> 125   15.65      1  67        1         0
#> 187    9.92      1  39        1         0
#> 96    14.54      1  33        0         1
#> 192   16.44      1  31        1         0
#> 183    9.24      1  67        1         0
#> 110   17.56      1  65        0         1
#> 37    12.52      1  57        1         0
#> 113.1 22.86      1  34        0         0
#> 45    17.42      1  54        0         1
#> 69    23.23      1  25        0         1
#> 171   16.57      1  41        0         1
#> 23    16.92      1  61        0         0
#> 108   18.29      1  39        0         1
#> 18    15.21      1  49        1         0
#> 79    16.23      1  54        1         0
#> 179   18.63      1  42        0         0
#> 41    18.02      1  40        1         0
#> 93    10.33      1  52        0         1
#> 100.1 16.07      1  60        0         0
#> 66    22.13      1  53        0         0
#> 134   17.81      1  47        1         0
#> 101    9.97      1  10        0         1
#> 86    23.81      1  58        0         1
#> 45.1  17.42      1  54        0         1
#> 125.1 15.65      1  67        1         0
#> 127    3.53      1  62        0         1
#> 155   13.08      1  26        0         0
#> 23.1  16.92      1  61        0         0
#> 43    12.10      1  61        0         1
#> 40.1  18.00      1  28        1         0
#> 139   21.49      1  63        1         0
#> 36.2  21.19      1  48        0         1
#> 68.1  20.62      1  44        0         0
#> 194   22.40      1  38        0         1
#> 127.1  3.53      1  62        0         1
#> 78    23.88      1  43        0         0
#> 175   21.91      1  43        0         0
#> 40.2  18.00      1  28        1         0
#> 150   20.33      1  48        0         0
#> 85    16.44      1  36        0         0
#> 111.1 17.45      1  47        0         1
#> 99.1  21.19      1  38        0         1
#> 108.1 18.29      1  39        0         1
#> 97.1  19.14      1  65        0         1
#> 76    19.22      1  54        0         1
#> 158   20.14      1  74        1         0
#> 81    14.06      1  34        0         0
#> 69.1  23.23      1  25        0         1
#> 105   19.75      1  60        0         0
#> 177   12.53      1  75        0         0
#> 32    20.90      1  37        1         0
#> 145   10.07      1  65        1         0
#> 13.1  14.34      1  54        0         1
#> 197.1 21.60      1  69        1         0
#> 14    12.89      1  21        0         0
#> 164   23.60      1  76        0         1
#> 79.1  16.23      1  54        1         0
#> 123   13.00      1  44        1         0
#> 55    19.34      1  69        0         1
#> 32.1  20.90      1  37        1         0
#> 134.1 17.81      1  47        1         0
#> 40.3  18.00      1  28        1         0
#> 37.1  12.52      1  57        1         0
#> 43.1  12.10      1  61        0         1
#> 40.4  18.00      1  28        1         0
#> 136   21.83      1  43        0         1
#> 189   10.51      1  NA        1         0
#> 43.2  12.10      1  61        0         1
#> 88    18.37      1  47        0         0
#> 50    10.02      1  NA        1         0
#> 169   22.41      1  46        0         0
#> 52.1  10.42      1  52        0         1
#> 15    22.68      1  48        0         0
#> 25     6.32      1  34        1         0
#> 153   21.33      1  55        1         0
#> 101.1  9.97      1  10        0         1
#> 32.2  20.90      1  37        1         0
#> 52.2  10.42      1  52        0         1
#> 190   20.81      1  42        1         0
#> 194.1 22.40      1  38        0         1
#> 194.2 22.40      1  38        0         1
#> 37.2  12.52      1  57        1         0
#> 29    15.45      1  68        1         0
#> 79.2  16.23      1  54        1         0
#> 40.5  18.00      1  28        1         0
#> 61    10.12      1  36        0         1
#> 86.1  23.81      1  58        0         1
#> 105.1 19.75      1  60        0         0
#> 161   24.00      0  45        0         0
#> 98    24.00      0  34        1         0
#> 196   24.00      0  19        0         0
#> 141   24.00      0  44        1         0
#> 35    24.00      0  51        0         0
#> 104   24.00      0  50        1         0
#> 143   24.00      0  51        0         0
#> 118   24.00      0  44        1         0
#> 137   24.00      0  45        1         0
#> 147   24.00      0  76        1         0
#> 196.1 24.00      0  19        0         0
#> 27    24.00      0  63        1         0
#> 47    24.00      0  38        0         1
#> 142   24.00      0  53        0         0
#> 196.2 24.00      0  19        0         0
#> 200   24.00      0  64        0         0
#> 9     24.00      0  31        1         0
#> 186   24.00      0  45        1         0
#> 165   24.00      0  47        0         0
#> 146   24.00      0  63        1         0
#> 33    24.00      0  53        0         0
#> 38    24.00      0  31        1         0
#> 44    24.00      0  56        0         0
#> 62    24.00      0  71        0         0
#> 35.1  24.00      0  51        0         0
#> 65    24.00      0  57        1         0
#> 103   24.00      0  56        1         0
#> 53    24.00      0  32        0         1
#> 198   24.00      0  66        0         1
#> 142.1 24.00      0  53        0         0
#> 186.1 24.00      0  45        1         0
#> 22    24.00      0  52        1         0
#> 198.1 24.00      0  66        0         1
#> 160   24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 95    24.00      0  68        0         1
#> 198.2 24.00      0  66        0         1
#> 35.2  24.00      0  51        0         0
#> 116   24.00      0  58        0         1
#> 64    24.00      0  43        0         0
#> 182   24.00      0  35        0         0
#> 20    24.00      0  46        1         0
#> 161.1 24.00      0  45        0         0
#> 144   24.00      0  28        0         1
#> 82    24.00      0  34        0         0
#> 132   24.00      0  55        0         0
#> 185   24.00      0  44        1         0
#> 74    24.00      0  43        0         1
#> 73    24.00      0  NA        0         1
#> 80    24.00      0  41        0         0
#> 161.2 24.00      0  45        0         0
#> 143.1 24.00      0  51        0         0
#> 9.1   24.00      0  31        1         0
#> 27.1  24.00      0  63        1         0
#> 102   24.00      0  49        0         0
#> 82.1  24.00      0  34        0         0
#> 143.2 24.00      0  51        0         0
#> 115   24.00      0  NA        1         0
#> 193   24.00      0  45        0         1
#> 22.1  24.00      0  52        1         0
#> 121   24.00      0  57        1         0
#> 182.1 24.00      0  35        0         0
#> 82.2  24.00      0  34        0         0
#> 115.1 24.00      0  NA        1         0
#> 116.1 24.00      0  58        0         1
#> 31    24.00      0  36        0         1
#> 178   24.00      0  52        1         0
#> 144.1 24.00      0  28        0         1
#> 20.1  24.00      0  46        1         0
#> 132.1 24.00      0  55        0         0
#> 7     24.00      0  37        1         0
#> 147.1 24.00      0  76        1         0
#> 11    24.00      0  42        0         1
#> 141.1 24.00      0  44        1         0
#> 27.2  24.00      0  63        1         0
#> 103.1 24.00      0  56        1         0
#> 98.1  24.00      0  34        1         0
#> 75    24.00      0  21        1         0
#> 74.1  24.00      0  43        0         1
#> 160.1 24.00      0  31        1         0
#> 137.1 24.00      0  45        1         0
#> 104.1 24.00      0  50        1         0
#> 7.1   24.00      0  37        1         0
#> 122   24.00      0  66        0         0
#> 67    24.00      0  25        0         0
#> 186.2 24.00      0  45        1         0
#> 104.2 24.00      0  50        1         0
#> 65.1  24.00      0  57        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.470          NA        NA      NA
#> 2 age, Cure model          0.00480        NA        NA      NA
#> 3 grade_ii, Cure model     0.159          NA        NA      NA
#> 4 grade_iii, Cure model    1.40           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00337        NA        NA      NA
#> 2 grade_ii, Survival model   0.599          NA        NA      NA
#> 3 grade_iii, Survival model  0.195          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.470173          0.004796          0.158817          1.401393  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    264.8 
#> Residual Deviance: 248.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.470172672      0.004796185      0.158816975      1.401393422 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003371053      0.599480054      0.195395774 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.79734152 0.34770535 0.91122680 0.71486804 0.77727487 0.59681919
#>   [7] 0.34770535 0.76366982 0.15158142 0.44661381 0.71486804 0.97106855
#>  [13] 0.29977224 0.66397275 0.52828300 0.39814598 0.34770535 0.50168419
#>  [19] 0.97691103 0.88680135 0.82353976 0.57996343 0.78408145 0.95926404
#>  [25] 0.81705186 0.72914976 0.96518944 0.65652565 0.86834730 0.15158142
#>  [31] 0.67864451 0.11922283 0.70763086 0.69317227 0.56295077 0.81054542
#>  [37] 0.74327232 0.54558004 0.58845673 0.92930504 0.76366982 0.25690337
#>  [43] 0.64162963 0.94737097 0.06148186 0.67864451 0.78408145 0.98852374
#>  [49] 0.84280708 0.69317227 0.89298618 0.59681919 0.32431623 0.34770535
#>  [55] 0.44661381 0.21547829 0.98852374 0.02588545 0.27136770 0.59681919
#>  [61] 0.46523691 0.72914976 0.66397275 0.34770535 0.56295077 0.52828300
#>  [67] 0.51941210 0.47461028 0.83637212 0.11922283 0.48374250 0.86198756
#>  [73] 0.40866460 0.94138624 0.82353976 0.29977224 0.85561429 0.09998754
#>  [79] 0.74327232 0.84923754 0.50168419 0.40866460 0.64162963 0.59681919
#>  [85] 0.86834730 0.89298618 0.59681919 0.28571297 0.89298618 0.55427709
#>  [91] 0.19942368 0.91122680 0.18315015 0.98273526 0.33625309 0.94737097
#>  [97] 0.40866460 0.91122680 0.43713934 0.21547829 0.21547829 0.86834730
#> [103] 0.80397844 0.74327232 0.59681919 0.93535291 0.06148186 0.48374250
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000
#> 
#> $Time
#>    39    36    52   181    26    40    99   100   113    68 181.1   149   197 
#> 15.59 21.19 10.42 16.46 15.77 18.00 21.19 16.07 22.86 20.62 16.46  8.37 21.60 
#>   111    97    90  36.1    58    77    56    13    51   125   187    96   192 
#> 17.45 19.14 20.94 21.19 19.34  7.27 12.21 14.34 18.23 15.65  9.92 14.54 16.44 
#>   183   110    37 113.1    45    69   171    23   108    18    79   179    41 
#>  9.24 17.56 12.52 22.86 17.42 23.23 16.57 16.92 18.29 15.21 16.23 18.63 18.02 
#>    93 100.1    66   134   101    86  45.1 125.1   127   155  23.1    43  40.1 
#> 10.33 16.07 22.13 17.81  9.97 23.81 17.42 15.65  3.53 13.08 16.92 12.10 18.00 
#>   139  36.2  68.1   194 127.1    78   175  40.2   150    85 111.1  99.1 108.1 
#> 21.49 21.19 20.62 22.40  3.53 23.88 21.91 18.00 20.33 16.44 17.45 21.19 18.29 
#>  97.1    76   158    81  69.1   105   177    32   145  13.1 197.1    14   164 
#> 19.14 19.22 20.14 14.06 23.23 19.75 12.53 20.90 10.07 14.34 21.60 12.89 23.60 
#>  79.1   123    55  32.1 134.1  40.3  37.1  43.1  40.4   136  43.2    88   169 
#> 16.23 13.00 19.34 20.90 17.81 18.00 12.52 12.10 18.00 21.83 12.10 18.37 22.41 
#>  52.1    15    25   153 101.1  32.2  52.2   190 194.1 194.2  37.2    29  79.2 
#> 10.42 22.68  6.32 21.33  9.97 20.90 10.42 20.81 22.40 22.40 12.52 15.45 16.23 
#>  40.5    61  86.1 105.1   161    98   196   141    35   104   143   118   137 
#> 18.00 10.12 23.81 19.75 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147 196.1    27    47   142 196.2   200     9   186   165   146    33    38 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44    62  35.1    65   103    53   198 142.1 186.1    22 198.1   160    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95 198.2  35.2   116    64   182    20 161.1   144    82   132   185    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80 161.2 143.1   9.1  27.1   102  82.1 143.2   193  22.1   121 182.1  82.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 116.1    31   178 144.1  20.1 132.1     7 147.1    11 141.1  27.2 103.1  98.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75  74.1 160.1 137.1 104.1   7.1   122    67 186.2 104.2  65.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[89]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001293995               0.684714536               0.411261459 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.340569811             0.004135915             0.063251434 
#>   grade_iii, Cure model 
#>             0.976211640 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 168   23.72      1  70        0         0
#> 190   20.81      1  42        1         0
#> 110   17.56      1  65        0         1
#> 16     8.71      1  71        0         1
#> 105   19.75      1  60        0         0
#> 194   22.40      1  38        0         1
#> 70     7.38      1  30        1         0
#> 134   17.81      1  47        1         0
#> 130   16.47      1  53        0         1
#> 88    18.37      1  47        0         0
#> 52    10.42      1  52        0         1
#> 136   21.83      1  43        0         1
#> 136.1 21.83      1  43        0         1
#> 166   19.98      1  48        0         0
#> 70.1   7.38      1  30        1         0
#> 107   11.18      1  54        1         0
#> 61    10.12      1  36        0         1
#> 59    10.16      1  NA        1         0
#> 149    8.37      1  33        1         0
#> 63    22.77      1  31        1         0
#> 68    20.62      1  44        0         0
#> 171   16.57      1  41        0         1
#> 29    15.45      1  68        1         0
#> 150   20.33      1  48        0         0
#> 42    12.43      1  49        0         1
#> 68.1  20.62      1  44        0         0
#> 129   23.41      1  53        1         0
#> 153   21.33      1  55        1         0
#> 93    10.33      1  52        0         1
#> 167   15.55      1  56        1         0
#> 18    15.21      1  49        1         0
#> 97    19.14      1  65        0         1
#> 69    23.23      1  25        0         1
#> 52.1  10.42      1  52        0         1
#> 43    12.10      1  61        0         1
#> 15    22.68      1  48        0         0
#> 49    12.19      1  48        1         0
#> 79    16.23      1  54        1         0
#> 170   19.54      1  43        0         1
#> 49.1  12.19      1  48        1         0
#> 52.2  10.42      1  52        0         1
#> 100   16.07      1  60        0         0
#> 159   10.55      1  50        0         1
#> 50    10.02      1  NA        1         0
#> 179   18.63      1  42        0         0
#> 26    15.77      1  49        0         1
#> 68.2  20.62      1  44        0         0
#> 153.1 21.33      1  55        1         0
#> 85    16.44      1  36        0         0
#> 154   12.63      1  20        1         0
#> 159.1 10.55      1  50        0         1
#> 88.1  18.37      1  47        0         0
#> 164   23.60      1  76        0         1
#> 167.1 15.55      1  56        1         0
#> 134.1 17.81      1  47        1         0
#> 96    14.54      1  33        0         1
#> 15.1  22.68      1  48        0         0
#> 134.2 17.81      1  47        1         0
#> 189   10.51      1  NA        1         0
#> 107.1 11.18      1  54        1         0
#> 195   11.76      1  NA        1         0
#> 181   16.46      1  45        0         1
#> 56    12.21      1  60        0         0
#> 154.1 12.63      1  20        1         0
#> 91     5.33      1  61        0         1
#> 125   15.65      1  67        1         0
#> 130.1 16.47      1  53        0         1
#> 23    16.92      1  61        0         0
#> 133   14.65      1  57        0         0
#> 194.1 22.40      1  38        0         1
#> 125.1 15.65      1  67        1         0
#> 30    17.43      1  78        0         0
#> 59.1  10.16      1  NA        1         0
#> 139   21.49      1  63        1         0
#> 171.1 16.57      1  41        0         1
#> 52.3  10.42      1  52        0         1
#> 86    23.81      1  58        0         1
#> 52.4  10.42      1  52        0         1
#> 6     15.64      1  39        0         0
#> 30.1  17.43      1  78        0         0
#> 76    19.22      1  54        0         1
#> 52.5  10.42      1  52        0         1
#> 55    19.34      1  69        0         1
#> 127    3.53      1  62        0         1
#> 77     7.27      1  67        0         1
#> 145   10.07      1  65        1         0
#> 111   17.45      1  47        0         1
#> 70.2   7.38      1  30        1         0
#> 157   15.10      1  47        0         0
#> 113   22.86      1  34        0         0
#> 8     18.43      1  32        0         0
#> 49.2  12.19      1  48        1         0
#> 49.3  12.19      1  48        1         0
#> 113.1 22.86      1  34        0         0
#> 114   13.68      1  NA        0         0
#> 86.1  23.81      1  58        0         1
#> 59.2  10.16      1  NA        1         0
#> 108   18.29      1  39        0         1
#> 150.1 20.33      1  48        0         0
#> 159.2 10.55      1  50        0         1
#> 177   12.53      1  75        0         0
#> 49.4  12.19      1  48        1         0
#> 192   16.44      1  31        1         0
#> 60    13.15      1  38        1         0
#> 92    22.92      1  47        0         1
#> 139.1 21.49      1  63        1         0
#> 78    23.88      1  43        0         0
#> 105.1 19.75      1  60        0         0
#> 41    18.02      1  40        1         0
#> 51    18.23      1  83        0         1
#> 113.2 22.86      1  34        0         0
#> 93.1  10.33      1  52        0         1
#> 193   24.00      0  45        0         1
#> 151   24.00      0  42        0         0
#> 135   24.00      0  58        1         0
#> 146   24.00      0  63        1         0
#> 178   24.00      0  52        1         0
#> 11    24.00      0  42        0         1
#> 98    24.00      0  34        1         0
#> 74    24.00      0  43        0         1
#> 64    24.00      0  43        0         0
#> 120   24.00      0  68        0         1
#> 98.1  24.00      0  34        1         0
#> 122   24.00      0  66        0         0
#> 104   24.00      0  50        1         0
#> 138   24.00      0  44        1         0
#> 178.1 24.00      0  52        1         0
#> 54    24.00      0  53        1         0
#> 9     24.00      0  31        1         0
#> 20    24.00      0  46        1         0
#> 22    24.00      0  52        1         0
#> 54.1  24.00      0  53        1         0
#> 198   24.00      0  66        0         1
#> 172   24.00      0  41        0         0
#> 146.1 24.00      0  63        1         0
#> 95    24.00      0  68        0         1
#> 174   24.00      0  49        1         0
#> 31    24.00      0  36        0         1
#> 126   24.00      0  48        0         0
#> 7     24.00      0  37        1         0
#> 67    24.00      0  25        0         0
#> 7.1   24.00      0  37        1         0
#> 161   24.00      0  45        0         0
#> 103   24.00      0  56        1         0
#> 143   24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 165   24.00      0  47        0         0
#> 75    24.00      0  21        1         0
#> 132   24.00      0  55        0         0
#> 48    24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 12    24.00      0  63        0         0
#> 103.1 24.00      0  56        1         0
#> 44    24.00      0  56        0         0
#> 28    24.00      0  67        1         0
#> 3     24.00      0  31        1         0
#> 95.1  24.00      0  68        0         1
#> 144   24.00      0  28        0         1
#> 7.2   24.00      0  37        1         0
#> 142   24.00      0  53        0         0
#> 163   24.00      0  66        0         0
#> 28.1  24.00      0  67        1         0
#> 186   24.00      0  45        1         0
#> 200   24.00      0  64        0         0
#> 122.1 24.00      0  66        0         0
#> 160   24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 22.1  24.00      0  52        1         0
#> 146.2 24.00      0  63        1         0
#> 161.1 24.00      0  45        0         0
#> 162   24.00      0  51        0         0
#> 11.1  24.00      0  42        0         1
#> 11.2  24.00      0  42        0         1
#> 142.1 24.00      0  53        0         0
#> 163.1 24.00      0  66        0         0
#> 12.1  24.00      0  63        0         0
#> 163.2 24.00      0  66        0         0
#> 95.2  24.00      0  68        0         1
#> 84    24.00      0  39        0         1
#> 176   24.00      0  43        0         1
#> 126.1 24.00      0  48        0         0
#> 9.1   24.00      0  31        1         0
#> 95.3  24.00      0  68        0         1
#> 141   24.00      0  44        1         0
#> 71.1  24.00      0  51        0         0
#> 200.1 24.00      0  64        0         0
#> 126.2 24.00      0  48        0         0
#> 126.3 24.00      0  48        0         0
#> 146.3 24.00      0  63        1         0
#> 116   24.00      0  58        0         1
#> 174.1 24.00      0  49        1         0
#> 143.1 24.00      0  51        0         0
#> 126.4 24.00      0  48        0         0
#> 38    24.00      0  31        1         0
#> 75.1  24.00      0  21        1         0
#> 84.1  24.00      0  39        0         1
#> 174.2 24.00      0  49        1         0
#> 83    24.00      0   6        0         0
#> 200.2 24.00      0  64        0         0
#> 104.1 24.00      0  50        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.341          NA        NA      NA
#> 2 age, Cure model          0.00414        NA        NA      NA
#> 3 grade_ii, Cure model     0.0633         NA        NA      NA
#> 4 grade_iii, Cure model    0.976          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00129        NA        NA      NA
#> 2 grade_ii, Survival model   0.685          NA        NA      NA
#> 3 grade_iii, Survival model  0.411          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.340570          0.004136          0.063251          0.976212  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    266.1 
#> Residual Deviance: 257.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.340569811      0.004135915      0.063251434      0.976211640 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001293995      0.684714536      0.411261459 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.10476891 0.36549144 0.58304505 0.95262350 0.43466065 0.27402505
#>   [7] 0.96473664 0.55774802 0.64130807 0.51162366 0.89135270 0.29908851
#>  [13] 0.29908851 0.42468410 0.96473664 0.85940420 0.94037264 0.95870054
#>  [19] 0.23384056 0.37558774 0.62493939 0.74209602 0.40493600 0.80631770
#>  [25] 0.37558774 0.14521860 0.34496625 0.92806956 0.72736556 0.74941309
#>  [31] 0.48334835 0.16190592 0.89135270 0.85281237 0.24754833 0.82020184
#>  [37] 0.68125981 0.45431294 0.82020184 0.89135270 0.68909721 0.87231499
#>  [43] 0.49278266 0.69692742 0.37558774 0.34496625 0.66547171 0.78542339
#>  [49] 0.87231499 0.51162366 0.12606317 0.72736556 0.55774802 0.77111441
#>  [55] 0.24754833 0.55774802 0.85940420 0.65742348 0.81326216 0.78542339
#>  [61] 0.98827706 0.70470456 0.64130807 0.61657036 0.76388557 0.27402505
#>  [67] 0.70470456 0.59992749 0.32296325 0.62493939 0.89135270 0.06587128
#>  [73] 0.89135270 0.71978803 0.59992749 0.47379450 0.89135270 0.46412011
#>  [79] 0.99414950 0.98238246 0.94652101 0.59152260 0.96473664 0.75665150
#>  [85] 0.19266720 0.50220689 0.82020184 0.82020184 0.19266720 0.06587128
#>  [91] 0.53024139 0.40493600 0.87231499 0.79933672 0.82020184 0.66547171
#>  [97] 0.77830451 0.17768724 0.32296325 0.02558035 0.43466065 0.54872465
#> [103] 0.53953682 0.19266720 0.92806956 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000
#> 
#> $Time
#>   168   190   110    16   105   194    70   134   130    88    52   136 136.1 
#> 23.72 20.81 17.56  8.71 19.75 22.40  7.38 17.81 16.47 18.37 10.42 21.83 21.83 
#>   166  70.1   107    61   149    63    68   171    29   150    42  68.1   129 
#> 19.98  7.38 11.18 10.12  8.37 22.77 20.62 16.57 15.45 20.33 12.43 20.62 23.41 
#>   153    93   167    18    97    69  52.1    43    15    49    79   170  49.1 
#> 21.33 10.33 15.55 15.21 19.14 23.23 10.42 12.10 22.68 12.19 16.23 19.54 12.19 
#>  52.2   100   159   179    26  68.2 153.1    85   154 159.1  88.1   164 167.1 
#> 10.42 16.07 10.55 18.63 15.77 20.62 21.33 16.44 12.63 10.55 18.37 23.60 15.55 
#> 134.1    96  15.1 134.2 107.1   181    56 154.1    91   125 130.1    23   133 
#> 17.81 14.54 22.68 17.81 11.18 16.46 12.21 12.63  5.33 15.65 16.47 16.92 14.65 
#> 194.1 125.1    30   139 171.1  52.3    86  52.4     6  30.1    76  52.5    55 
#> 22.40 15.65 17.43 21.49 16.57 10.42 23.81 10.42 15.64 17.43 19.22 10.42 19.34 
#>   127    77   145   111  70.2   157   113     8  49.2  49.3 113.1  86.1   108 
#>  3.53  7.27 10.07 17.45  7.38 15.10 22.86 18.43 12.19 12.19 22.86 23.81 18.29 
#> 150.1 159.2   177  49.4   192    60    92 139.1    78 105.1    41    51 113.2 
#> 20.33 10.55 12.53 12.19 16.44 13.15 22.92 21.49 23.88 19.75 18.02 18.23 22.86 
#>  93.1   193   151   135   146   178    11    98    74    64   120  98.1   122 
#> 10.33 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104   138 178.1    54     9    20    22  54.1   198   172 146.1    95   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31   126     7    67   7.1   161   103   143    21   165    75   132    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152    12 103.1    44    28     3  95.1   144   7.2   142   163  28.1   186 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200 122.1   160    71  22.1 146.2 161.1   162  11.1  11.2 142.1 163.1  12.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 163.2  95.2    84   176 126.1   9.1  95.3   141  71.1 200.1 126.2 126.3 146.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116 174.1 143.1 126.4    38  75.1  84.1 174.2    83 200.2 104.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[90]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.004337145               0.465010149               0.265204677 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.48818454              0.01087969             -0.14729105 
#>   grade_iii, Cure model 
#>              0.66703755 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 136   21.83      1  43        0         1
#> 108   18.29      1  39        0         1
#> 39    15.59      1  37        0         1
#> 86    23.81      1  58        0         1
#> 5     16.43      1  51        0         1
#> 63    22.77      1  31        1         0
#> 81    14.06      1  34        0         0
#> 4     17.64      1  NA        0         1
#> 199   19.81      1  NA        0         1
#> 26    15.77      1  49        0         1
#> 51    18.23      1  83        0         1
#> 128   20.35      1  35        0         1
#> 154   12.63      1  20        1         0
#> 96    14.54      1  33        0         1
#> 194   22.40      1  38        0         1
#> 125   15.65      1  67        1         0
#> 23    16.92      1  61        0         0
#> 181   16.46      1  45        0         1
#> 179   18.63      1  42        0         0
#> 100   16.07      1  60        0         0
#> 51.1  18.23      1  83        0         1
#> 168   23.72      1  70        0         0
#> 179.1 18.63      1  42        0         0
#> 40    18.00      1  28        1         0
#> 100.1 16.07      1  60        0         0
#> 136.1 21.83      1  43        0         1
#> 29    15.45      1  68        1         0
#> 45    17.42      1  54        0         1
#> 49    12.19      1  48        1         0
#> 43    12.10      1  61        0         1
#> 184   17.77      1  38        0         0
#> 192   16.44      1  31        1         0
#> 139   21.49      1  63        1         0
#> 32    20.90      1  37        1         0
#> 92    22.92      1  47        0         1
#> 125.1 15.65      1  67        1         0
#> 184.1 17.77      1  38        0         0
#> 183    9.24      1  67        1         0
#> 86.1  23.81      1  58        0         1
#> 101    9.97      1  10        0         1
#> 136.2 21.83      1  43        0         1
#> 195   11.76      1  NA        1         0
#> 81.1  14.06      1  34        0         0
#> 5.1   16.43      1  51        0         1
#> 117   17.46      1  26        0         1
#> 139.1 21.49      1  63        1         0
#> 159   10.55      1  50        0         1
#> 189   10.51      1  NA        1         0
#> 150   20.33      1  48        0         0
#> 106   16.67      1  49        1         0
#> 5.2   16.43      1  51        0         1
#> 183.1  9.24      1  67        1         0
#> 127    3.53      1  62        0         1
#> 78    23.88      1  43        0         0
#> 169   22.41      1  46        0         0
#> 81.2  14.06      1  34        0         0
#> 77     7.27      1  67        0         1
#> 43.1  12.10      1  61        0         1
#> 91     5.33      1  61        0         1
#> 6     15.64      1  39        0         0
#> 24    23.89      1  38        0         0
#> 158   20.14      1  74        1         0
#> 69    23.23      1  25        0         1
#> 81.3  14.06      1  34        0         0
#> 56    12.21      1  60        0         0
#> 164   23.60      1  76        0         1
#> 184.2 17.77      1  38        0         0
#> 153   21.33      1  55        1         0
#> 136.3 21.83      1  43        0         1
#> 113   22.86      1  34        0         0
#> 128.1 20.35      1  35        0         1
#> 180   14.82      1  37        0         0
#> 93    10.33      1  52        0         1
#> 18    15.21      1  49        1         0
#> 169.1 22.41      1  46        0         0
#> 63.1  22.77      1  31        1         0
#> 90    20.94      1  50        0         1
#> 30    17.43      1  78        0         0
#> 26.1  15.77      1  49        0         1
#> 180.1 14.82      1  37        0         0
#> 4.1   17.64      1  NA        0         1
#> 36    21.19      1  48        0         1
#> 42    12.43      1  49        0         1
#> 25     6.32      1  34        1         0
#> 69.1  23.23      1  25        0         1
#> 159.1 10.55      1  50        0         1
#> 184.3 17.77      1  38        0         0
#> 26.2  15.77      1  49        0         1
#> 63.2  22.77      1  31        1         0
#> 130   16.47      1  53        0         1
#> 26.3  15.77      1  49        0         1
#> 45.1  17.42      1  54        0         1
#> 86.2  23.81      1  58        0         1
#> 188   16.16      1  46        0         1
#> 43.2  12.10      1  61        0         1
#> 108.1 18.29      1  39        0         1
#> 197   21.60      1  69        1         0
#> 43.3  12.10      1  61        0         1
#> 134   17.81      1  47        1         0
#> 188.1 16.16      1  46        0         1
#> 184.4 17.77      1  38        0         0
#> 37    12.52      1  57        1         0
#> 134.1 17.81      1  47        1         0
#> 58    19.34      1  39        0         0
#> 57    14.46      1  45        0         1
#> 106.1 16.67      1  49        1         0
#> 55    19.34      1  69        0         1
#> 123   13.00      1  44        1         0
#> 60    13.15      1  38        1         0
#> 23.1  16.92      1  61        0         0
#> 78.1  23.88      1  43        0         0
#> 169.2 22.41      1  46        0         0
#> 98    24.00      0  34        1         0
#> 62    24.00      0  71        0         0
#> 173   24.00      0  19        0         1
#> 122   24.00      0  66        0         0
#> 44    24.00      0  56        0         0
#> 198   24.00      0  66        0         1
#> 142   24.00      0  53        0         0
#> 1     24.00      0  23        1         0
#> 20    24.00      0  46        1         0
#> 162   24.00      0  51        0         0
#> 48    24.00      0  31        1         0
#> 182   24.00      0  35        0         0
#> 173.1 24.00      0  19        0         1
#> 142.1 24.00      0  53        0         0
#> 120   24.00      0  68        0         1
#> 200   24.00      0  64        0         0
#> 109   24.00      0  48        0         0
#> 196   24.00      0  19        0         0
#> 48.1  24.00      0  31        1         0
#> 38    24.00      0  31        1         0
#> 173.2 24.00      0  19        0         1
#> 95    24.00      0  68        0         1
#> 185   24.00      0  44        1         0
#> 103   24.00      0  56        1         0
#> 19    24.00      0  57        0         1
#> 27    24.00      0  63        1         0
#> 112   24.00      0  61        0         0
#> 65    24.00      0  57        1         0
#> 65.1  24.00      0  57        1         0
#> 120.1 24.00      0  68        0         1
#> 20.1  24.00      0  46        1         0
#> 46    24.00      0  71        0         0
#> 21    24.00      0  47        0         0
#> 21.1  24.00      0  47        0         0
#> 48.2  24.00      0  31        1         0
#> 21.2  24.00      0  47        0         0
#> 65.2  24.00      0  57        1         0
#> 53    24.00      0  32        0         1
#> 182.1 24.00      0  35        0         0
#> 172   24.00      0  41        0         0
#> 138   24.00      0  44        1         0
#> 191   24.00      0  60        0         1
#> 83    24.00      0   6        0         0
#> 11    24.00      0  42        0         1
#> 73    24.00      0  NA        0         1
#> 152   24.00      0  36        0         1
#> 94    24.00      0  51        0         1
#> 143   24.00      0  51        0         0
#> 163   24.00      0  66        0         0
#> 27.1  24.00      0  63        1         0
#> 73.1  24.00      0  NA        0         1
#> 186   24.00      0  45        1         0
#> 144   24.00      0  28        0         1
#> 94.1  24.00      0  51        0         1
#> 47    24.00      0  38        0         1
#> 2     24.00      0   9        0         0
#> 28    24.00      0  67        1         0
#> 148   24.00      0  61        1         0
#> 3     24.00      0  31        1         0
#> 2.1   24.00      0   9        0         0
#> 186.1 24.00      0  45        1         0
#> 198.1 24.00      0  66        0         1
#> 7     24.00      0  37        1         0
#> 12    24.00      0  63        0         0
#> 84    24.00      0  39        0         1
#> 132   24.00      0  55        0         0
#> 141   24.00      0  44        1         0
#> 84.1  24.00      0  39        0         1
#> 2.2   24.00      0   9        0         0
#> 34    24.00      0  36        0         0
#> 120.2 24.00      0  68        0         1
#> 176   24.00      0  43        0         1
#> 74    24.00      0  43        0         1
#> 83.1  24.00      0   6        0         0
#> 144.1 24.00      0  28        0         1
#> 200.1 24.00      0  64        0         0
#> 141.1 24.00      0  44        1         0
#> 17    24.00      0  38        0         1
#> 109.1 24.00      0  48        0         0
#> 28.1  24.00      0  67        1         0
#> 20.2  24.00      0  46        1         0
#> 27.2  24.00      0  63        1         0
#> 28.2  24.00      0  67        1         0
#> 115   24.00      0  NA        1         0
#> 174   24.00      0  49        1         0
#> 173.3 24.00      0  19        0         1
#> 109.2 24.00      0  48        0         0
#> 146   24.00      0  63        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.488         NA        NA      NA
#> 2 age, Cure model           0.0109        NA        NA      NA
#> 3 grade_ii, Cure model     -0.147         NA        NA      NA
#> 4 grade_iii, Cure model     0.667         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00434        NA        NA      NA
#> 2 grade_ii, Survival model   0.465          NA        NA      NA
#> 3 grade_iii, Survival model  0.265          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.48818           0.01088          -0.14729           0.66704  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    263.6 
#> Residual Deviance: 256.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.48818454       0.01087969      -0.14729105       0.66703755 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.004337145      0.465010149      0.265204677 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.34221562 0.52435608 0.80027033 0.11769109 0.70358020 0.25880006
#>   [7] 0.84634286 0.75295948 0.54134199 0.45340692 0.88480431 0.83328664
#>  [13] 0.33025667 0.78010897 0.65146193 0.68890718 0.50706557 0.73894795
#>  [19] 0.54134199 0.16668950 0.50706557 0.55787731 0.73894795 0.34221562
#>  [25] 0.80697293 0.63617492 0.91003738 0.91626942 0.58201593 0.69627543
#>  [31] 0.39508261 0.44402843 0.22983567 0.78010897 0.58201593 0.96464831
#>  [37] 0.11769109 0.95862127 0.34221562 0.84634286 0.70358020 0.62051101
#>  [43] 0.39508261 0.94048887 0.47158497 0.66664107 0.70358020 0.96464831
#>  [49] 0.99416243 0.06741302 0.29500275 0.84634286 0.97649809 0.91626942
#>  [55] 0.98830056 0.79353780 0.02886947 0.48072217 0.20058538 0.84634286
#>  [61] 0.90376408 0.18426898 0.58201593 0.41496749 0.34221562 0.24438590
#>  [67] 0.45340692 0.82020051 0.95258051 0.81361277 0.29500275 0.25880006
#>  [73] 0.43447458 0.62836261 0.75295948 0.82020051 0.42478882 0.89747781
#>  [79] 0.98241430 0.20058538 0.94048887 0.58201593 0.75295948 0.25880006
#>  [85] 0.68149257 0.75295948 0.63617492 0.11769109 0.72485700 0.91626942
#>  [91] 0.52435608 0.38441812 0.91626942 0.56610913 0.72485700 0.58201593
#>  [97] 0.89116446 0.56610913 0.48965653 0.83982959 0.66664107 0.48965653
#> [103] 0.87841033 0.87197292 0.65146193 0.06741302 0.29500275 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   136   108    39    86     5    63    81    26    51   128   154    96   194 
#> 21.83 18.29 15.59 23.81 16.43 22.77 14.06 15.77 18.23 20.35 12.63 14.54 22.40 
#>   125    23   181   179   100  51.1   168 179.1    40 100.1 136.1    29    45 
#> 15.65 16.92 16.46 18.63 16.07 18.23 23.72 18.63 18.00 16.07 21.83 15.45 17.42 
#>    49    43   184   192   139    32    92 125.1 184.1   183  86.1   101 136.2 
#> 12.19 12.10 17.77 16.44 21.49 20.90 22.92 15.65 17.77  9.24 23.81  9.97 21.83 
#>  81.1   5.1   117 139.1   159   150   106   5.2 183.1   127    78   169  81.2 
#> 14.06 16.43 17.46 21.49 10.55 20.33 16.67 16.43  9.24  3.53 23.88 22.41 14.06 
#>    77  43.1    91     6    24   158    69  81.3    56   164 184.2   153 136.3 
#>  7.27 12.10  5.33 15.64 23.89 20.14 23.23 14.06 12.21 23.60 17.77 21.33 21.83 
#>   113 128.1   180    93    18 169.1  63.1    90    30  26.1 180.1    36    42 
#> 22.86 20.35 14.82 10.33 15.21 22.41 22.77 20.94 17.43 15.77 14.82 21.19 12.43 
#>    25  69.1 159.1 184.3  26.2  63.2   130  26.3  45.1  86.2   188  43.2 108.1 
#>  6.32 23.23 10.55 17.77 15.77 22.77 16.47 15.77 17.42 23.81 16.16 12.10 18.29 
#>   197  43.3   134 188.1 184.4    37 134.1    58    57 106.1    55   123    60 
#> 21.60 12.10 17.81 16.16 17.77 12.52 17.81 19.34 14.46 16.67 19.34 13.00 13.15 
#>  23.1  78.1 169.2    98    62   173   122    44   198   142     1    20   162 
#> 16.92 23.88 22.41 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48   182 173.1 142.1   120   200   109   196  48.1    38 173.2    95   185 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103    19    27   112    65  65.1 120.1  20.1    46    21  21.1  48.2  21.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.2    53 182.1   172   138   191    83    11   152    94   143   163  27.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186   144  94.1    47     2    28   148     3   2.1 186.1 198.1     7    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84   132   141  84.1   2.2    34 120.2   176    74  83.1 144.1 200.1 141.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    17 109.1  28.1  20.2  27.2  28.2   174 173.3 109.2   146 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[91]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004937073               0.210422362               0.242636682 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.18332716              0.01769987              0.80718030 
#>   grade_iii, Cure model 
#>              1.00177200 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 69    23.23      1  25        0         1
#> 110   17.56      1  65        0         1
#> 99    21.19      1  38        0         1
#> 30    17.43      1  78        0         0
#> 13    14.34      1  54        0         1
#> 96    14.54      1  33        0         1
#> 63    22.77      1  31        1         0
#> 52    10.42      1  52        0         1
#> 99.1  21.19      1  38        0         1
#> 36    21.19      1  48        0         1
#> 29    15.45      1  68        1         0
#> 197   21.60      1  69        1         0
#> 136   21.83      1  43        0         1
#> 177   12.53      1  75        0         0
#> 4     17.64      1  NA        0         1
#> 105   19.75      1  60        0         0
#> 187    9.92      1  39        1         0
#> 145   10.07      1  65        1         0
#> 40    18.00      1  28        1         0
#> 10    10.53      1  34        0         0
#> 15    22.68      1  48        0         0
#> 155   13.08      1  26        0         0
#> 4.1   17.64      1  NA        0         1
#> 183    9.24      1  67        1         0
#> 134   17.81      1  47        1         0
#> 100   16.07      1  60        0         0
#> 180   14.82      1  37        0         0
#> 192   16.44      1  31        1         0
#> 76    19.22      1  54        0         1
#> 159   10.55      1  50        0         1
#> 68    20.62      1  44        0         0
#> 101    9.97      1  10        0         1
#> 197.1 21.60      1  69        1         0
#> 179   18.63      1  42        0         0
#> 158   20.14      1  74        1         0
#> 92    22.92      1  47        0         1
#> 105.1 19.75      1  60        0         0
#> 189   10.51      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 139   21.49      1  63        1         0
#> 58    19.34      1  39        0         0
#> 18    15.21      1  49        1         0
#> 88    18.37      1  47        0         0
#> 194   22.40      1  38        0         1
#> 181   16.46      1  45        0         1
#> 183.1  9.24      1  67        1         0
#> 96.1  14.54      1  33        0         1
#> 61    10.12      1  36        0         1
#> 113   22.86      1  34        0         0
#> 108   18.29      1  39        0         1
#> 149    8.37      1  33        1         0
#> 130   16.47      1  53        0         1
#> 97    19.14      1  65        0         1
#> 50    10.02      1  NA        1         0
#> 139.1 21.49      1  63        1         0
#> 179.1 18.63      1  42        0         0
#> 154   12.63      1  20        1         0
#> 195   11.76      1  NA        1         0
#> 158.1 20.14      1  74        1         0
#> 124    9.73      1  NA        1         0
#> 59    10.16      1  NA        1         0
#> 167.1 15.55      1  56        1         0
#> 100.1 16.07      1  60        0         0
#> 197.2 21.60      1  69        1         0
#> 26    15.77      1  49        0         1
#> 175   21.91      1  43        0         0
#> 97.1  19.14      1  65        0         1
#> 15.1  22.68      1  48        0         0
#> 36.1  21.19      1  48        0         1
#> 61.1  10.12      1  36        0         1
#> 140   12.68      1  59        1         0
#> 60    13.15      1  38        1         0
#> 153   21.33      1  55        1         0
#> 14    12.89      1  21        0         0
#> 169   22.41      1  46        0         0
#> 180.1 14.82      1  37        0         0
#> 78    23.88      1  43        0         0
#> 76.1  19.22      1  54        0         1
#> 107   11.18      1  54        1         0
#> 114   13.68      1  NA        0         0
#> 49    12.19      1  48        1         0
#> 85    16.44      1  36        0         0
#> 29.1  15.45      1  68        1         0
#> 130.1 16.47      1  53        0         1
#> 77     7.27      1  67        0         1
#> 79    16.23      1  54        1         0
#> 90    20.94      1  50        0         1
#> 153.1 21.33      1  55        1         0
#> 70     7.38      1  30        1         0
#> 41    18.02      1  40        1         0
#> 101.1  9.97      1  10        0         1
#> 79.1  16.23      1  54        1         0
#> 129   23.41      1  53        1         0
#> 5     16.43      1  51        0         1
#> 129.1 23.41      1  53        1         0
#> 106   16.67      1  49        1         0
#> 61.2  10.12      1  36        0         1
#> 25     6.32      1  34        1         0
#> 51    18.23      1  83        0         1
#> 56    12.21      1  60        0         0
#> 90.1  20.94      1  50        0         1
#> 91     5.33      1  61        0         1
#> 18.1  15.21      1  49        1         0
#> 111   17.45      1  47        0         1
#> 8     18.43      1  32        0         0
#> 130.2 16.47      1  53        0         1
#> 56.1  12.21      1  60        0         0
#> 96.2  14.54      1  33        0         1
#> 155.1 13.08      1  26        0         0
#> 190   20.81      1  42        1         0
#> 190.1 20.81      1  42        1         0
#> 150   20.33      1  48        0         0
#> 182   24.00      0  35        0         0
#> 17    24.00      0  38        0         1
#> 182.1 24.00      0  35        0         0
#> 193   24.00      0  45        0         1
#> 53    24.00      0  32        0         1
#> 135   24.00      0  58        1         0
#> 151   24.00      0  42        0         0
#> 141   24.00      0  44        1         0
#> 17.1  24.00      0  38        0         1
#> 64    24.00      0  43        0         0
#> 80    24.00      0  41        0         0
#> 109   24.00      0  48        0         0
#> 62    24.00      0  71        0         0
#> 143   24.00      0  51        0         0
#> 152   24.00      0  36        0         1
#> 44    24.00      0  56        0         0
#> 54    24.00      0  53        1         0
#> 115   24.00      0  NA        1         0
#> 31    24.00      0  36        0         1
#> 62.1  24.00      0  71        0         0
#> 138   24.00      0  44        1         0
#> 143.1 24.00      0  51        0         0
#> 7     24.00      0  37        1         0
#> 82    24.00      0  34        0         0
#> 47    24.00      0  38        0         1
#> 196   24.00      0  19        0         0
#> 131   24.00      0  66        0         0
#> 196.1 24.00      0  19        0         0
#> 80.1  24.00      0  41        0         0
#> 54.1  24.00      0  53        1         0
#> 7.1   24.00      0  37        1         0
#> 163   24.00      0  66        0         0
#> 174   24.00      0  49        1         0
#> 152.1 24.00      0  36        0         1
#> 1     24.00      0  23        1         0
#> 191   24.00      0  60        0         1
#> 19    24.00      0  57        0         1
#> 186   24.00      0  45        1         0
#> 71    24.00      0  51        0         0
#> 172   24.00      0  41        0         0
#> 80.2  24.00      0  41        0         0
#> 112   24.00      0  61        0         0
#> 109.1 24.00      0  48        0         0
#> 151.1 24.00      0  42        0         0
#> 19.1  24.00      0  57        0         1
#> 38    24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 144   24.00      0  28        0         1
#> 62.2  24.00      0  71        0         0
#> 176   24.00      0  43        0         1
#> 9     24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 64.1  24.00      0  43        0         0
#> 103   24.00      0  56        1         0
#> 9.1   24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 95    24.00      0  68        0         1
#> 173   24.00      0  19        0         1
#> 87    24.00      0  27        0         0
#> 162   24.00      0  51        0         0
#> 185   24.00      0  44        1         0
#> 151.2 24.00      0  42        0         0
#> 156   24.00      0  50        1         0
#> 44.1  24.00      0  56        0         0
#> 74    24.00      0  43        0         1
#> 34    24.00      0  36        0         0
#> 135.1 24.00      0  58        1         0
#> 34.1  24.00      0  36        0         0
#> 7.2   24.00      0  37        1         0
#> 9.2   24.00      0  31        1         0
#> 84    24.00      0  39        0         1
#> 87.1  24.00      0  27        0         0
#> 67.1  24.00      0  25        0         0
#> 122   24.00      0  66        0         0
#> 198   24.00      0  66        0         1
#> 148   24.00      0  61        1         0
#> 73    24.00      0  NA        0         1
#> 156.1 24.00      0  50        1         0
#> 112.1 24.00      0  61        0         0
#> 115.1 24.00      0  NA        1         0
#> 67.2  24.00      0  25        0         0
#> 176.1 24.00      0  43        0         1
#> 46    24.00      0  71        0         0
#> 137   24.00      0  45        1         0
#> 27    24.00      0  63        1         0
#> 2     24.00      0   9        0         0
#> 118   24.00      0  44        1         0
#> 191.1 24.00      0  60        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.18          NA        NA      NA
#> 2 age, Cure model           0.0177        NA        NA      NA
#> 3 grade_ii, Cure model      0.807         NA        NA      NA
#> 4 grade_iii, Cure model     1.00          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00494        NA        NA      NA
#> 2 grade_ii, Survival model   0.210          NA        NA      NA
#> 3 grade_iii, Survival model  0.243          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -1.1833            0.0177            0.8072            1.0018  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.1 
#> Residual Deviance: 248 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.18332716       0.01769987       0.80718030       1.00177200 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004937073      0.210422362      0.242636682 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.027807012 0.437773432 0.176532823 0.457423815 0.705145322 0.675325079
#>   [7] 0.052882187 0.847280716 0.176532823 0.176532823 0.615239195 0.114240139
#>  [13] 0.105121711 0.775803220 0.283816227 0.918420195 0.887894781 0.418158750
#>  [19] 0.837019163 0.061325852 0.725316058 0.928614059 0.427963683 0.565458252
#>  [25] 0.655221601 0.516226032 0.312145566 0.826777014 0.246867246 0.898141576
#>  [31] 0.114240139 0.350007448 0.265377825 0.036089978 0.283816227 0.595333954
#>  [37] 0.140191293 0.302567269 0.635220620 0.378922554 0.087001116 0.506331900
#>  [43] 0.928614059 0.675325079 0.857544010 0.044361304 0.388723289 0.948940230
#>  [49] 0.477214227 0.331035617 0.140191293 0.350007448 0.765679250 0.265377825
#>  [55] 0.595333954 0.565458252 0.114240139 0.585318337 0.095979367 0.331035617
#>  [61] 0.061325852 0.176532823 0.857544010 0.755539441 0.715232329 0.158299147
#>  [67] 0.745410195 0.077971031 0.655221601 0.003859157 0.312145566 0.816535401
#>  [73] 0.806300803 0.516226032 0.615239195 0.477214227 0.969358745 0.545775455
#>  [79] 0.210929574 0.158299147 0.959152980 0.408336589 0.898141576 0.545775455
#>  [85] 0.013289314 0.535863436 0.013289314 0.467315769 0.857544010 0.979573585
#>  [91] 0.398511362 0.785968240 0.210929574 0.989783797 0.635220620 0.447599768
#>  [97] 0.369174045 0.477214227 0.785968240 0.675325079 0.725316058 0.228900211
#> [103] 0.228900211 0.256087233 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    69   110    99    30    13    96    63    52  99.1    36    29   197   136 
#> 23.23 17.56 21.19 17.43 14.34 14.54 22.77 10.42 21.19 21.19 15.45 21.60 21.83 
#>   177   105   187   145    40    10    15   155   183   134   100   180   192 
#> 12.53 19.75  9.92 10.07 18.00 10.53 22.68 13.08  9.24 17.81 16.07 14.82 16.44 
#>    76   159    68   101 197.1   179   158    92 105.1   167   139    58    18 
#> 19.22 10.55 20.62  9.97 21.60 18.63 20.14 22.92 19.75 15.55 21.49 19.34 15.21 
#>    88   194   181 183.1  96.1    61   113   108   149   130    97 139.1 179.1 
#> 18.37 22.40 16.46  9.24 14.54 10.12 22.86 18.29  8.37 16.47 19.14 21.49 18.63 
#>   154 158.1 167.1 100.1 197.2    26   175  97.1  15.1  36.1  61.1   140    60 
#> 12.63 20.14 15.55 16.07 21.60 15.77 21.91 19.14 22.68 21.19 10.12 12.68 13.15 
#>   153    14   169 180.1    78  76.1   107    49    85  29.1 130.1    77    79 
#> 21.33 12.89 22.41 14.82 23.88 19.22 11.18 12.19 16.44 15.45 16.47  7.27 16.23 
#>    90 153.1    70    41 101.1  79.1   129     5 129.1   106  61.2    25    51 
#> 20.94 21.33  7.38 18.02  9.97 16.23 23.41 16.43 23.41 16.67 10.12  6.32 18.23 
#>    56  90.1    91  18.1   111     8 130.2  56.1  96.2 155.1   190 190.1   150 
#> 12.21 20.94  5.33 15.21 17.45 18.43 16.47 12.21 14.54 13.08 20.81 20.81 20.33 
#>   182    17 182.1   193    53   135   151   141  17.1    64    80   109    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143   152    44    54    31  62.1   138 143.1     7    82    47   196   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 196.1  80.1  54.1   7.1   163   174 152.1     1   191    19   186    71   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  80.2   112 109.1 151.1  19.1    38    67   144  62.2   176     9   142  64.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103   9.1   119    95   173    87   162   185 151.2   156  44.1    74    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 135.1  34.1   7.2   9.2    84  87.1  67.1   122   198   148 156.1 112.1  67.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 176.1    46   137    27     2   118 191.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[92]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003708157               0.180493514               0.240673211 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.91893832              0.01413827              0.48726077 
#>   grade_iii, Cure model 
#>              0.88282926 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 124    9.73      1  NA        1         0
#> 195   11.76      1  NA        1         0
#> 59    10.16      1  NA        1         0
#> 68    20.62      1  44        0         0
#> 154   12.63      1  20        1         0
#> 157   15.10      1  47        0         0
#> 18    15.21      1  49        1         0
#> 78    23.88      1  43        0         0
#> 40    18.00      1  28        1         0
#> 107   11.18      1  54        1         0
#> 164   23.60      1  76        0         1
#> 23    16.92      1  61        0         0
#> 170   19.54      1  43        0         1
#> 32    20.90      1  37        1         0
#> 195.1 11.76      1  NA        1         0
#> 129   23.41      1  53        1         0
#> 88    18.37      1  47        0         0
#> 41    18.02      1  40        1         0
#> 179   18.63      1  42        0         0
#> 177   12.53      1  75        0         0
#> 63    22.77      1  31        1         0
#> 89    11.44      1  NA        0         0
#> 189   10.51      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 70     7.38      1  30        1         0
#> 29    15.45      1  68        1         0
#> 199   19.81      1  NA        0         1
#> 30    17.43      1  78        0         0
#> 96    14.54      1  33        0         1
#> 15    22.68      1  48        0         0
#> 42    12.43      1  49        0         1
#> 56    12.21      1  60        0         0
#> 14    12.89      1  21        0         0
#> 136   21.83      1  43        0         1
#> 59.1  10.16      1  NA        1         0
#> 15.1  22.68      1  48        0         0
#> 36    21.19      1  48        0         1
#> 77     7.27      1  67        0         1
#> 133   14.65      1  57        0         0
#> 32.1  20.90      1  37        1         0
#> 133.1 14.65      1  57        0         0
#> 96.1  14.54      1  33        0         1
#> 15.2  22.68      1  48        0         0
#> 14.1  12.89      1  21        0         0
#> 197   21.60      1  69        1         0
#> 16     8.71      1  71        0         1
#> 153   21.33      1  55        1         0
#> 42.1  12.43      1  49        0         1
#> 130   16.47      1  53        0         1
#> 179.1 18.63      1  42        0         0
#> 76    19.22      1  54        0         1
#> 57    14.46      1  45        0         1
#> 37    12.52      1  57        1         0
#> 175   21.91      1  43        0         0
#> 181   16.46      1  45        0         1
#> 139   21.49      1  63        1         0
#> 50    10.02      1  NA        1         0
#> 199.1 19.81      1  NA        0         1
#> 181.1 16.46      1  45        0         1
#> 58    19.34      1  39        0         0
#> 56.1  12.21      1  60        0         0
#> 117   17.46      1  26        0         1
#> 45    17.42      1  54        0         1
#> 45.1  17.42      1  54        0         1
#> 23.1  16.92      1  61        0         0
#> 61    10.12      1  36        0         1
#> 114   13.68      1  NA        0         0
#> 179.2 18.63      1  42        0         0
#> 61.1  10.12      1  36        0         1
#> 154.1 12.63      1  20        1         0
#> 63.1  22.77      1  31        1         0
#> 101    9.97      1  10        0         1
#> 105   19.75      1  60        0         0
#> 187    9.92      1  39        1         0
#> 49    12.19      1  48        1         0
#> 58.1  19.34      1  39        0         0
#> 26    15.77      1  49        0         1
#> 158   20.14      1  74        1         0
#> 79    16.23      1  54        1         0
#> 63.2  22.77      1  31        1         0
#> 88.1  18.37      1  47        0         0
#> 55    19.34      1  69        0         1
#> 130.1 16.47      1  53        0         1
#> 167   15.55      1  56        1         0
#> 171   16.57      1  41        0         1
#> 139.1 21.49      1  63        1         0
#> 133.2 14.65      1  57        0         0
#> 179.3 18.63      1  42        0         0
#> 140   12.68      1  59        1         0
#> 42.2  12.43      1  49        0         1
#> 136.1 21.83      1  43        0         1
#> 86    23.81      1  58        0         1
#> 76.1  19.22      1  54        0         1
#> 92    22.92      1  47        0         1
#> 129.1 23.41      1  53        1         0
#> 181.2 16.46      1  45        0         1
#> 92.1  22.92      1  47        0         1
#> 59.2  10.16      1  NA        1         0
#> 41.1  18.02      1  40        1         0
#> 79.1  16.23      1  54        1         0
#> 25     6.32      1  34        1         0
#> 117.1 17.46      1  26        0         1
#> 78.1  23.88      1  43        0         0
#> 81    14.06      1  34        0         0
#> 78.2  23.88      1  43        0         0
#> 6     15.64      1  39        0         0
#> 128   20.35      1  35        0         1
#> 93    10.33      1  52        0         1
#> 90    20.94      1  50        0         1
#> 85    16.44      1  36        0         0
#> 50.1  10.02      1  NA        1         0
#> 117.2 17.46      1  26        0         1
#> 9     24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 131   24.00      0  66        0         0
#> 19    24.00      0  57        0         1
#> 142   24.00      0  53        0         0
#> 126   24.00      0  48        0         0
#> 112   24.00      0  61        0         0
#> 176   24.00      0  43        0         1
#> 152.1 24.00      0  36        0         1
#> 103   24.00      0  56        1         0
#> 67    24.00      0  25        0         0
#> 182   24.00      0  35        0         0
#> 143   24.00      0  51        0         0
#> 196   24.00      0  19        0         0
#> 83    24.00      0   6        0         0
#> 53    24.00      0  32        0         1
#> 186   24.00      0  45        1         0
#> 104   24.00      0  50        1         0
#> 143.1 24.00      0  51        0         0
#> 162   24.00      0  51        0         0
#> 112.1 24.00      0  61        0         0
#> 54    24.00      0  53        1         0
#> 196.1 24.00      0  19        0         0
#> 141   24.00      0  44        1         0
#> 176.1 24.00      0  43        0         1
#> 83.1  24.00      0   6        0         0
#> 2     24.00      0   9        0         0
#> 31    24.00      0  36        0         1
#> 47    24.00      0  38        0         1
#> 185   24.00      0  44        1         0
#> 2.1   24.00      0   9        0         0
#> 196.2 24.00      0  19        0         0
#> 75    24.00      0  21        1         0
#> 75.1  24.00      0  21        1         0
#> 142.1 24.00      0  53        0         0
#> 172   24.00      0  41        0         0
#> 82    24.00      0  34        0         0
#> 82.1  24.00      0  34        0         0
#> 146   24.00      0  63        1         0
#> 47.1  24.00      0  38        0         1
#> 33    24.00      0  53        0         0
#> 98    24.00      0  34        1         0
#> 152.2 24.00      0  36        0         1
#> 118   24.00      0  44        1         0
#> 173   24.00      0  19        0         1
#> 112.2 24.00      0  61        0         0
#> 67.1  24.00      0  25        0         0
#> 147   24.00      0  76        1         0
#> 27    24.00      0  63        1         0
#> 182.1 24.00      0  35        0         0
#> 54.1  24.00      0  53        1         0
#> 112.3 24.00      0  61        0         0
#> 67.2  24.00      0  25        0         0
#> 143.2 24.00      0  51        0         0
#> 80    24.00      0  41        0         0
#> 21    24.00      0  47        0         0
#> 95    24.00      0  68        0         1
#> 148   24.00      0  61        1         0
#> 72    24.00      0  40        0         1
#> 27.1  24.00      0  63        1         0
#> 31.1  24.00      0  36        0         1
#> 74    24.00      0  43        0         1
#> 193   24.00      0  45        0         1
#> 109   24.00      0  48        0         0
#> 46    24.00      0  71        0         0
#> 165   24.00      0  47        0         0
#> 62    24.00      0  71        0         0
#> 160   24.00      0  31        1         0
#> 193.1 24.00      0  45        0         1
#> 112.4 24.00      0  61        0         0
#> 200   24.00      0  64        0         0
#> 95.1  24.00      0  68        0         1
#> 1     24.00      0  23        1         0
#> 54.2  24.00      0  53        1         0
#> 28    24.00      0  67        1         0
#> 82.2  24.00      0  34        0         0
#> 174   24.00      0  49        1         0
#> 2.2   24.00      0   9        0         0
#> 121   24.00      0  57        1         0
#> 142.2 24.00      0  53        0         0
#> 161   24.00      0  45        0         0
#> 196.3 24.00      0  19        0         0
#> 94    24.00      0  51        0         1
#> 19.1  24.00      0  57        0         1
#> 33.1  24.00      0  53        0         0
#> 182.2 24.00      0  35        0         0
#> 115   24.00      0  NA        1         0
#> 84    24.00      0  39        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.919         NA        NA      NA
#> 2 age, Cure model           0.0141        NA        NA      NA
#> 3 grade_ii, Cure model      0.487         NA        NA      NA
#> 4 grade_iii, Cure model     0.883         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00371        NA        NA      NA
#> 2 grade_ii, Survival model   0.180          NA        NA      NA
#> 3 grade_iii, Survival model  0.241          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.91894           0.01414           0.48726           0.88283  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    257.1 
#> Residual Deviance: 248.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.91893832       0.01413827       0.48726077       0.88282926 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003708157      0.180493514      0.240673211 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.27018898 0.79486694 0.68239365 0.67218346 0.01042652 0.44992498
#>   [7] 0.89725537 0.04453409 0.52030164 0.31035794 0.25058705 0.05549827
#>  [13] 0.40926085 0.42960855 0.36988257 0.81528679 0.10539978 0.07545183
#>  [19] 0.96921251 0.66197347 0.48997037 0.72313493 0.13273093 0.83590311
#>  [25] 0.86638599 0.76409365 0.17117062 0.13273093 0.23049219 0.97947643
#>  [31] 0.69262833 0.25058705 0.69262833 0.72313493 0.13273093 0.76409365
#>  [37] 0.19066363 0.95894078 0.22040446 0.83590311 0.55083026 0.36988257
#>  [43] 0.34995605 0.74354585 0.82559299 0.16103028 0.57106475 0.20071126
#>  [49] 0.57106475 0.32042798 0.86638599 0.46018188 0.50016114 0.50016114
#>  [55] 0.52030164 0.91791366 0.36988257 0.91791366 0.79486694 0.10539978
#>  [61] 0.93839820 0.30026021 0.94867152 0.88692567 0.32042798 0.63140646
#>  [67] 0.29022979 0.61120463 0.10539978 0.40926085 0.32042798 0.55083026
#>  [73] 0.65177436 0.54060129 0.20071126 0.69262833 0.36988257 0.78456070
#>  [79] 0.83590311 0.17117062 0.03369060 0.34995605 0.08595756 0.05549827
#>  [85] 0.57106475 0.08595756 0.42960855 0.61120463 0.98974119 0.46018188
#>  [91] 0.01042652 0.75381146 0.01042652 0.64157952 0.28023037 0.90758740
#>  [97] 0.24055151 0.60102551 0.46018188 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    68   154   157    18    78    40   107   164    23   170    32   129    88 
#> 20.62 12.63 15.10 15.21 23.88 18.00 11.18 23.60 16.92 19.54 20.90 23.41 18.37 
#>    41   179   177    63    69    70    29    30    96    15    42    56    14 
#> 18.02 18.63 12.53 22.77 23.23  7.38 15.45 17.43 14.54 22.68 12.43 12.21 12.89 
#>   136  15.1    36    77   133  32.1 133.1  96.1  15.2  14.1   197    16   153 
#> 21.83 22.68 21.19  7.27 14.65 20.90 14.65 14.54 22.68 12.89 21.60  8.71 21.33 
#>  42.1   130 179.1    76    57    37   175   181   139 181.1    58  56.1   117 
#> 12.43 16.47 18.63 19.22 14.46 12.52 21.91 16.46 21.49 16.46 19.34 12.21 17.46 
#>    45  45.1  23.1    61 179.2  61.1 154.1  63.1   101   105   187    49  58.1 
#> 17.42 17.42 16.92 10.12 18.63 10.12 12.63 22.77  9.97 19.75  9.92 12.19 19.34 
#>    26   158    79  63.2  88.1    55 130.1   167   171 139.1 133.2 179.3   140 
#> 15.77 20.14 16.23 22.77 18.37 19.34 16.47 15.55 16.57 21.49 14.65 18.63 12.68 
#>  42.2 136.1    86  76.1    92 129.1 181.2  92.1  41.1  79.1    25 117.1  78.1 
#> 12.43 21.83 23.81 19.22 22.92 23.41 16.46 22.92 18.02 16.23  6.32 17.46 23.88 
#>    81  78.2     6   128    93    90    85 117.2     9   152   131    19   142 
#> 14.06 23.88 15.64 20.35 10.33 20.94 16.44 17.46 24.00 24.00 24.00 24.00 24.00 
#>   126   112   176 152.1   103    67   182   143   196    83    53   186   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 143.1   162 112.1    54 196.1   141 176.1  83.1     2    31    47   185   2.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 196.2    75  75.1 142.1   172    82  82.1   146  47.1    33    98 152.2   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   173 112.2  67.1   147    27 182.1  54.1 112.3  67.2 143.2    80    21    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148    72  27.1  31.1    74   193   109    46   165    62   160 193.1 112.4 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200  95.1     1  54.2    28  82.2   174   2.2   121 142.2   161 196.3    94 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  19.1  33.1 182.2    84 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[93]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00507861                0.74766718                0.44836402 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.147828958             0.004942193            -0.475345817 
#>   grade_iii, Cure model 
#>             0.964302980 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 6     15.64      1  39        0         0
#> 93    10.33      1  52        0         1
#> 36    21.19      1  48        0         1
#> 96    14.54      1  33        0         1
#> 23    16.92      1  61        0         0
#> 63    22.77      1  31        1         0
#> 78    23.88      1  43        0         0
#> 10    10.53      1  34        0         0
#> 177   12.53      1  75        0         0
#> 177.1 12.53      1  75        0         0
#> 15    22.68      1  48        0         0
#> 170   19.54      1  43        0         1
#> 136   21.83      1  43        0         1
#> 189   10.51      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 139   21.49      1  63        1         0
#> 10.1  10.53      1  34        0         0
#> 86    23.81      1  58        0         1
#> 10.2  10.53      1  34        0         0
#> 101    9.97      1  10        0         1
#> 167.1 15.55      1  56        1         0
#> 23.1  16.92      1  61        0         0
#> 195   11.76      1  NA        1         0
#> 167.2 15.55      1  56        1         0
#> 92    22.92      1  47        0         1
#> 184   17.77      1  38        0         0
#> 56    12.21      1  60        0         0
#> 70     7.38      1  30        1         0
#> 66    22.13      1  53        0         0
#> 149    8.37      1  33        1         0
#> 171   16.57      1  41        0         1
#> 40    18.00      1  28        1         0
#> 29    15.45      1  68        1         0
#> 45    17.42      1  54        0         1
#> 26    15.77      1  49        0         1
#> 61    10.12      1  36        0         1
#> 145   10.07      1  65        1         0
#> 40.1  18.00      1  28        1         0
#> 25     6.32      1  34        1         0
#> 179   18.63      1  42        0         0
#> 77     7.27      1  67        0         1
#> 168   23.72      1  70        0         0
#> 188   16.16      1  46        0         1
#> 125   15.65      1  67        1         0
#> 18    15.21      1  49        1         0
#> 50    10.02      1  NA        1         0
#> 37    12.52      1  57        1         0
#> 43    12.10      1  61        0         1
#> 110   17.56      1  65        0         1
#> 15.1  22.68      1  48        0         0
#> 100   16.07      1  60        0         0
#> 180   14.82      1  37        0         0
#> 154   12.63      1  20        1         0
#> 25.1   6.32      1  34        1         0
#> 24    23.89      1  38        0         0
#> 179.1 18.63      1  42        0         0
#> 114   13.68      1  NA        0         0
#> 26.1  15.77      1  49        0         1
#> 181   16.46      1  45        0         1
#> 59    10.16      1  NA        1         0
#> 26.2  15.77      1  49        0         1
#> 136.1 21.83      1  43        0         1
#> 4     17.64      1  NA        0         1
#> 24.1  23.89      1  38        0         0
#> 159   10.55      1  50        0         1
#> 85    16.44      1  36        0         0
#> 59.1  10.16      1  NA        1         0
#> 61.1  10.12      1  36        0         1
#> 40.2  18.00      1  28        1         0
#> 171.1 16.57      1  41        0         1
#> 155   13.08      1  26        0         0
#> 43.1  12.10      1  61        0         1
#> 111   17.45      1  47        0         1
#> 170.1 19.54      1  43        0         1
#> 101.1  9.97      1  10        0         1
#> 30    17.43      1  78        0         0
#> 129   23.41      1  53        1         0
#> 97    19.14      1  65        0         1
#> 24.2  23.89      1  38        0         0
#> 167.3 15.55      1  56        1         0
#> 100.1 16.07      1  60        0         0
#> 6.1   15.64      1  39        0         0
#> 51    18.23      1  83        0         1
#> 6.2   15.64      1  39        0         0
#> 188.1 16.16      1  46        0         1
#> 106   16.67      1  49        1         0
#> 164   23.60      1  76        0         1
#> 41    18.02      1  40        1         0
#> 179.2 18.63      1  42        0         0
#> 32    20.90      1  37        1         0
#> 5     16.43      1  51        0         1
#> 189.1 10.51      1  NA        1         0
#> 171.2 16.57      1  41        0         1
#> 199   19.81      1  NA        0         1
#> 68    20.62      1  44        0         0
#> 61.2  10.12      1  36        0         1
#> 168.1 23.72      1  70        0         0
#> 136.2 21.83      1  43        0         1
#> 136.3 21.83      1  43        0         1
#> 183    9.24      1  67        1         0
#> 139.1 21.49      1  63        1         0
#> 105   19.75      1  60        0         0
#> 59.2  10.16      1  NA        1         0
#> 127    3.53      1  62        0         1
#> 136.4 21.83      1  43        0         1
#> 164.1 23.60      1  76        0         1
#> 77.1   7.27      1  67        0         1
#> 183.1  9.24      1  67        1         0
#> 59.3  10.16      1  NA        1         0
#> 25.2   6.32      1  34        1         0
#> 123   13.00      1  44        1         0
#> 41.1  18.02      1  40        1         0
#> 53    24.00      0  32        0         1
#> 102   24.00      0  49        0         0
#> 131   24.00      0  66        0         0
#> 62    24.00      0  71        0         0
#> 178   24.00      0  52        1         0
#> 191   24.00      0  60        0         1
#> 135   24.00      0  58        1         0
#> 65    24.00      0  57        1         0
#> 118   24.00      0  44        1         0
#> 17    24.00      0  38        0         1
#> 98    24.00      0  34        1         0
#> 54    24.00      0  53        1         0
#> 31    24.00      0  36        0         1
#> 3     24.00      0  31        1         0
#> 22    24.00      0  52        1         0
#> 141   24.00      0  44        1         0
#> 178.1 24.00      0  52        1         0
#> 82    24.00      0  34        0         0
#> 132   24.00      0  55        0         0
#> 75    24.00      0  21        1         0
#> 185   24.00      0  44        1         0
#> 138   24.00      0  44        1         0
#> 12    24.00      0  63        0         0
#> 138.1 24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 118.1 24.00      0  44        1         0
#> 98.1  24.00      0  34        1         0
#> 109   24.00      0  48        0         0
#> 71    24.00      0  51        0         0
#> 87    24.00      0  27        0         0
#> 161   24.00      0  45        0         0
#> 82.1  24.00      0  34        0         0
#> 19    24.00      0  57        0         1
#> 98.2  24.00      0  34        1         0
#> 146   24.00      0  63        1         0
#> 137   24.00      0  45        1         0
#> 131.1 24.00      0  66        0         0
#> 64    24.00      0  43        0         0
#> 152   24.00      0  36        0         1
#> 115   24.00      0  NA        1         0
#> 72    24.00      0  40        0         1
#> 28    24.00      0  67        1         0
#> 160   24.00      0  31        1         0
#> 64.1  24.00      0  43        0         0
#> 48    24.00      0  31        1         0
#> 48.1  24.00      0  31        1         0
#> 22.1  24.00      0  52        1         0
#> 132.1 24.00      0  55        0         0
#> 176   24.00      0  43        0         1
#> 174   24.00      0  49        1         0
#> 53.1  24.00      0  32        0         1
#> 12.1  24.00      0  63        0         0
#> 143   24.00      0  51        0         0
#> 178.2 24.00      0  52        1         0
#> 65.1  24.00      0  57        1         0
#> 98.3  24.00      0  34        1         0
#> 116   24.00      0  58        0         1
#> 33    24.00      0  53        0         0
#> 135.1 24.00      0  58        1         0
#> 48.2  24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 102.1 24.00      0  49        0         0
#> 98.4  24.00      0  34        1         0
#> 118.2 24.00      0  44        1         0
#> 38    24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 33.1  24.00      0  53        0         0
#> 20    24.00      0  46        1         0
#> 7     24.00      0  37        1         0
#> 46    24.00      0  71        0         0
#> 200   24.00      0  64        0         0
#> 116.1 24.00      0  58        0         1
#> 44    24.00      0  56        0         0
#> 109.1 24.00      0  48        0         0
#> 152.1 24.00      0  36        0         1
#> 148   24.00      0  61        1         0
#> 148.1 24.00      0  61        1         0
#> 28.1  24.00      0  67        1         0
#> 1     24.00      0  23        1         0
#> 163   24.00      0  66        0         0
#> 73    24.00      0  NA        0         1
#> 84    24.00      0  39        0         1
#> 34    24.00      0  36        0         0
#> 87.1  24.00      0  27        0         0
#> 148.2 24.00      0  61        1         0
#> 174.1 24.00      0  49        1         0
#> 148.3 24.00      0  61        1         0
#> 143.1 24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.148          NA        NA      NA
#> 2 age, Cure model          0.00494        NA        NA      NA
#> 3 grade_ii, Cure model    -0.475          NA        NA      NA
#> 4 grade_iii, Cure model    0.964          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00508        NA        NA      NA
#> 2 grade_ii, Survival model   0.748          NA        NA      NA
#> 3 grade_iii, Survival model  0.448          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.147829          0.004942         -0.475346          0.964303  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258 
#> Residual Deviance: 243.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.147828958      0.004942193     -0.475345817      0.964302980 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00507861       0.74766718       0.44836402 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.64558486 0.85760511 0.27319288 0.73531621 0.48633940 0.14925367
#>   [7] 0.03987623 0.83163415 0.77061570 0.77061570 0.16155627 0.31615828
#>  [13] 0.19886612 0.67316559 0.25162281 0.83163415 0.05410410 0.83163415
#>  [19] 0.90062266 0.67316559 0.48633940 0.67316559 0.13607870 0.43803329
#>  [25] 0.79681761 0.94278103 0.18600468 0.93439774 0.51526844 0.40970338
#>  [31] 0.70855581 0.47669306 0.60876590 0.86633297 0.89202000 0.40970338
#>  [37] 0.96764453 0.34752466 0.95110411 0.06775882 0.57150955 0.63632931
#>  [43] 0.71751759 0.78808870 0.80557171 0.44772532 0.16155627 0.59006047
#>  [49] 0.72640756 0.76189213 0.96764453 0.01185694 0.34752466 0.60876590
#>  [55] 0.54319286 0.60876590 0.19886612 0.01185694 0.82292904 0.55262479
#>  [61] 0.86633297 0.40970338 0.51526844 0.74419000 0.80557171 0.45739109
#>  [67] 0.31615828 0.90062266 0.46700945 0.12260063 0.33698614 0.01185694
#>  [73] 0.67316559 0.59006047 0.64558486 0.37872142 0.64558486 0.57150955
#>  [79] 0.50564280 0.09540353 0.38941152 0.34752466 0.28409996 0.56208370
#>  [85] 0.51526844 0.29470175 0.86633297 0.06775882 0.19886612 0.19886612
#>  [91] 0.91758834 0.25162281 0.30538050 0.99186830 0.19886612 0.09540353
#>  [97] 0.95110411 0.91758834 0.96764453 0.75307691 0.38941152 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>     6    93    36    96    23    63    78    10   177 177.1    15   170   136 
#> 15.64 10.33 21.19 14.54 16.92 22.77 23.88 10.53 12.53 12.53 22.68 19.54 21.83 
#>   167   139  10.1    86  10.2   101 167.1  23.1 167.2    92   184    56    70 
#> 15.55 21.49 10.53 23.81 10.53  9.97 15.55 16.92 15.55 22.92 17.77 12.21  7.38 
#>    66   149   171    40    29    45    26    61   145  40.1    25   179    77 
#> 22.13  8.37 16.57 18.00 15.45 17.42 15.77 10.12 10.07 18.00  6.32 18.63  7.27 
#>   168   188   125    18    37    43   110  15.1   100   180   154  25.1    24 
#> 23.72 16.16 15.65 15.21 12.52 12.10 17.56 22.68 16.07 14.82 12.63  6.32 23.89 
#> 179.1  26.1   181  26.2 136.1  24.1   159    85  61.1  40.2 171.1   155  43.1 
#> 18.63 15.77 16.46 15.77 21.83 23.89 10.55 16.44 10.12 18.00 16.57 13.08 12.10 
#>   111 170.1 101.1    30   129    97  24.2 167.3 100.1   6.1    51   6.2 188.1 
#> 17.45 19.54  9.97 17.43 23.41 19.14 23.89 15.55 16.07 15.64 18.23 15.64 16.16 
#>   106   164    41 179.2    32     5 171.2    68  61.2 168.1 136.2 136.3   183 
#> 16.67 23.60 18.02 18.63 20.90 16.43 16.57 20.62 10.12 23.72 21.83 21.83  9.24 
#> 139.1   105   127 136.4 164.1  77.1 183.1  25.2   123  41.1    53   102   131 
#> 21.49 19.75  3.53 21.83 23.60  7.27  9.24  6.32 13.00 18.02 24.00 24.00 24.00 
#>    62   178   191   135    65   118    17    98    54    31     3    22   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 178.1    82   132    75   185   138    12 138.1    27 118.1  98.1   109    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87   161  82.1    19  98.2   146   137 131.1    64   152    72    28   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  64.1    48  48.1  22.1 132.1   176   174  53.1  12.1   143 178.2  65.1  98.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116    33 135.1  48.2    47 102.1  98.4 118.2    38    80  33.1    20     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    46   200 116.1    44 109.1 152.1   148 148.1  28.1     1   163    84    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  87.1 148.2 174.1 148.3 143.1 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[94]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0000270907              0.8085793316              0.4767010185 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.99830419              0.01386237              0.54493989 
#>   grade_iii, Cure model 
#>              1.13948826 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 86    23.81      1  58        0         1
#> 189   10.51      1  NA        1         0
#> 15    22.68      1  48        0         0
#> 140   12.68      1  59        1         0
#> 111   17.45      1  47        0         1
#> 42    12.43      1  49        0         1
#> 117   17.46      1  26        0         1
#> 164   23.60      1  76        0         1
#> 40    18.00      1  28        1         0
#> 100   16.07      1  60        0         0
#> 85    16.44      1  36        0         0
#> 39    15.59      1  37        0         1
#> 66    22.13      1  53        0         0
#> 69    23.23      1  25        0         1
#> 184   17.77      1  38        0         0
#> 127    3.53      1  62        0         1
#> 30    17.43      1  78        0         0
#> 93    10.33      1  52        0         1
#> 68    20.62      1  44        0         0
#> 123   13.00      1  44        1         0
#> 24    23.89      1  38        0         0
#> 157   15.10      1  47        0         0
#> 192   16.44      1  31        1         0
#> 90    20.94      1  50        0         1
#> 183    9.24      1  67        1         0
#> 180   14.82      1  37        0         0
#> 167   15.55      1  56        1         0
#> 158   20.14      1  74        1         0
#> 192.1 16.44      1  31        1         0
#> 13    14.34      1  54        0         1
#> 167.1 15.55      1  56        1         0
#> 123.1 13.00      1  44        1         0
#> 194   22.40      1  38        0         1
#> 51    18.23      1  83        0         1
#> 37    12.52      1  57        1         0
#> 63    22.77      1  31        1         0
#> 139   21.49      1  63        1         0
#> 149    8.37      1  33        1         0
#> 81    14.06      1  34        0         0
#> 85.1  16.44      1  36        0         0
#> 51.1  18.23      1  83        0         1
#> 111.1 17.45      1  47        0         1
#> 124    9.73      1  NA        1         0
#> 90.1  20.94      1  50        0         1
#> 192.2 16.44      1  31        1         0
#> 76    19.22      1  54        0         1
#> 37.1  12.52      1  57        1         0
#> 52    10.42      1  52        0         1
#> 68.1  20.62      1  44        0         0
#> 127.1  3.53      1  62        0         1
#> 97    19.14      1  65        0         1
#> 85.2  16.44      1  36        0         0
#> 63.1  22.77      1  31        1         0
#> 70     7.38      1  30        1         0
#> 69.1  23.23      1  25        0         1
#> 61    10.12      1  36        0         1
#> 93.1  10.33      1  52        0         1
#> 168   23.72      1  70        0         0
#> 159   10.55      1  50        0         1
#> 57    14.46      1  45        0         1
#> 113   22.86      1  34        0         0
#> 110   17.56      1  65        0         1
#> 70.1   7.38      1  30        1         0
#> 125   15.65      1  67        1         0
#> 41    18.02      1  40        1         0
#> 190   20.81      1  42        1         0
#> 140.1 12.68      1  59        1         0
#> 55    19.34      1  69        0         1
#> 171   16.57      1  41        0         1
#> 123.2 13.00      1  44        1         0
#> 168.1 23.72      1  70        0         0
#> 171.1 16.57      1  41        0         1
#> 89    11.44      1  NA        0         0
#> 113.1 22.86      1  34        0         0
#> 69.2  23.23      1  25        0         1
#> 52.1  10.42      1  52        0         1
#> 133   14.65      1  57        0         0
#> 113.2 22.86      1  34        0         0
#> 199   19.81      1  NA        0         1
#> 168.2 23.72      1  70        0         0
#> 155   13.08      1  26        0         0
#> 183.1  9.24      1  67        1         0
#> 26    15.77      1  49        0         1
#> 133.1 14.65      1  57        0         0
#> 26.1  15.77      1  49        0         1
#> 79    16.23      1  54        1         0
#> 63.2  22.77      1  31        1         0
#> 158.1 20.14      1  74        1         0
#> 117.1 17.46      1  26        0         1
#> 184.1 17.77      1  38        0         0
#> 124.1  9.73      1  NA        1         0
#> 129   23.41      1  53        1         0
#> 153   21.33      1  55        1         0
#> 167.2 15.55      1  56        1         0
#> 29    15.45      1  68        1         0
#> 66.1  22.13      1  53        0         0
#> 70.2   7.38      1  30        1         0
#> 154   12.63      1  20        1         0
#> 190.1 20.81      1  42        1         0
#> 170   19.54      1  43        0         1
#> 97.1  19.14      1  65        0         1
#> 25     6.32      1  34        1         0
#> 99    21.19      1  38        0         1
#> 93.2  10.33      1  52        0         1
#> 188   16.16      1  46        0         1
#> 99.1  21.19      1  38        0         1
#> 194.1 22.40      1  38        0         1
#> 187    9.92      1  39        1         0
#> 5     16.43      1  51        0         1
#> 97.2  19.14      1  65        0         1
#> 42.1  12.43      1  49        0         1
#> 192.3 16.44      1  31        1         0
#> 21    24.00      0  47        0         0
#> 28    24.00      0  67        1         0
#> 11    24.00      0  42        0         1
#> 44    24.00      0  56        0         0
#> 1     24.00      0  23        1         0
#> 144   24.00      0  28        0         1
#> 121   24.00      0  57        1         0
#> 28.1  24.00      0  67        1         0
#> 3     24.00      0  31        1         0
#> 44.1  24.00      0  56        0         0
#> 84    24.00      0  39        0         1
#> 21.1  24.00      0  47        0         0
#> 72    24.00      0  40        0         1
#> 1.1   24.00      0  23        1         0
#> 1.2   24.00      0  23        1         0
#> 47    24.00      0  38        0         1
#> 17    24.00      0  38        0         1
#> 27    24.00      0  63        1         0
#> 185   24.00      0  44        1         0
#> 172   24.00      0  41        0         0
#> 48    24.00      0  31        1         0
#> 185.1 24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 20    24.00      0  46        1         0
#> 17.1  24.00      0  38        0         1
#> 163   24.00      0  66        0         0
#> 74    24.00      0  43        0         1
#> 2     24.00      0   9        0         0
#> 161   24.00      0  45        0         0
#> 122   24.00      0  66        0         0
#> 35    24.00      0  51        0         0
#> 163.1 24.00      0  66        0         0
#> 147   24.00      0  76        1         0
#> 9     24.00      0  31        1         0
#> 17.2  24.00      0  38        0         1
#> 83    24.00      0   6        0         0
#> 62    24.00      0  71        0         0
#> 143   24.00      0  51        0         0
#> 144.1 24.00      0  28        0         1
#> 95    24.00      0  68        0         1
#> 80.1  24.00      0  41        0         0
#> 132   24.00      0  55        0         0
#> 193   24.00      0  45        0         1
#> 44.2  24.00      0  56        0         0
#> 176   24.00      0  43        0         1
#> 22    24.00      0  52        1         0
#> 143.1 24.00      0  51        0         0
#> 48.1  24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 162   24.00      0  51        0         0
#> 186   24.00      0  45        1         0
#> 7     24.00      0  37        1         0
#> 185.2 24.00      0  44        1         0
#> 119   24.00      0  17        0         0
#> 12    24.00      0  63        0         0
#> 82    24.00      0  34        0         0
#> 132.1 24.00      0  55        0         0
#> 38    24.00      0  31        1         0
#> 115   24.00      0  NA        1         0
#> 142   24.00      0  53        0         0
#> 82.1  24.00      0  34        0         0
#> 148   24.00      0  61        1         0
#> 84.1  24.00      0  39        0         1
#> 3.1   24.00      0  31        1         0
#> 65    24.00      0  57        1         0
#> 104   24.00      0  50        1         0
#> 137   24.00      0  45        1         0
#> 191   24.00      0  60        0         1
#> 148.1 24.00      0  61        1         0
#> 1.3   24.00      0  23        1         0
#> 160   24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 112   24.00      0  61        0         0
#> 182   24.00      0  35        0         0
#> 165   24.00      0  47        0         0
#> 95.1  24.00      0  68        0         1
#> 165.1 24.00      0  47        0         0
#> 44.3  24.00      0  56        0         0
#> 31    24.00      0  36        0         1
#> 74.1  24.00      0  43        0         1
#> 131   24.00      0  66        0         0
#> 17.3  24.00      0  38        0         1
#> 144.2 24.00      0  28        0         1
#> 141   24.00      0  44        1         0
#> 54    24.00      0  53        1         0
#> 7.1   24.00      0  37        1         0
#> 82.2  24.00      0  34        0         0
#> 35.1  24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.998         NA        NA      NA
#> 2 age, Cure model           0.0139        NA        NA      NA
#> 3 grade_ii, Cure model      0.545         NA        NA      NA
#> 4 grade_iii, Cure model     1.14          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                        estimate std.error statistic p.value
#>   <chr>                          <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.0000271        NA        NA      NA
#> 2 grade_ii, Survival model   0.809            NA        NA      NA
#> 3 grade_iii, Survival model  0.477            NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.99830           0.01386           0.54494           1.13949  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    266.9 
#> Residual Deviance: 255.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.99830419       0.01386237       0.54493989       1.13948826 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0000270907     0.8085793316     0.4767010185 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.05780247 0.30778370 0.85935309 0.61552387 0.89022725 0.59959354
#>   [7] 0.14491618 0.56689303 0.72584145 0.65455234 0.75400736 0.34386793
#>  [13] 0.18506130 0.57511498 0.98900739 0.63120717 0.92024996 0.45090914
#>  [19] 0.84034152 0.02124245 0.78753049 0.65455234 0.41108837 0.94960091
#>  [25] 0.79416723 0.76094401 0.47025079 0.65455234 0.82062669 0.76094401
#>  [31] 0.84034152 0.32034261 0.54158690 0.87805817 0.27162547 0.36739618
#>  [37] 0.96107572 0.82719825 0.65455234 0.54158690 0.61552387 0.41108837
#>  [43] 0.65455234 0.50691923 0.87805817 0.90832595 0.45090914 0.98900739
#>  [49] 0.51590308 0.65455234 0.27162547 0.96678785 0.18506130 0.93787022
#>  [55] 0.92024996 0.08482461 0.90229592 0.81402295 0.22832717 0.59144185
#>  [61] 0.96678785 0.74703162 0.55852013 0.43156861 0.85935309 0.49783747
#>  [67] 0.63909835 0.84034152 0.08482461 0.63909835 0.22832717 0.18506130
#>  [73] 0.90832595 0.80080402 0.22832717 0.08482461 0.83376987 0.94960091
#>  [79] 0.73298330 0.80080402 0.73298330 0.71151451 0.27162547 0.47025079
#>  [85] 0.59959354 0.57511498 0.16647947 0.37889073 0.76094401 0.78089382
#>  [91] 0.34386793 0.96678785 0.87184515 0.43156861 0.48865391 0.51590308
#>  [97] 0.98345812 0.38996816 0.92024996 0.71869971 0.38996816 0.32034261
#> [103] 0.94375821 0.70423809 0.51590308 0.89022725 0.65455234 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000 0.00000000
#> 
#> $Time
#>    86    15   140   111    42   117   164    40   100    85    39    66    69 
#> 23.81 22.68 12.68 17.45 12.43 17.46 23.60 18.00 16.07 16.44 15.59 22.13 23.23 
#>   184   127    30    93    68   123    24   157   192    90   183   180   167 
#> 17.77  3.53 17.43 10.33 20.62 13.00 23.89 15.10 16.44 20.94  9.24 14.82 15.55 
#>   158 192.1    13 167.1 123.1   194    51    37    63   139   149    81  85.1 
#> 20.14 16.44 14.34 15.55 13.00 22.40 18.23 12.52 22.77 21.49  8.37 14.06 16.44 
#>  51.1 111.1  90.1 192.2    76  37.1    52  68.1 127.1    97  85.2  63.1    70 
#> 18.23 17.45 20.94 16.44 19.22 12.52 10.42 20.62  3.53 19.14 16.44 22.77  7.38 
#>  69.1    61  93.1   168   159    57   113   110  70.1   125    41   190 140.1 
#> 23.23 10.12 10.33 23.72 10.55 14.46 22.86 17.56  7.38 15.65 18.02 20.81 12.68 
#>    55   171 123.2 168.1 171.1 113.1  69.2  52.1   133 113.2 168.2   155 183.1 
#> 19.34 16.57 13.00 23.72 16.57 22.86 23.23 10.42 14.65 22.86 23.72 13.08  9.24 
#>    26 133.1  26.1    79  63.2 158.1 117.1 184.1   129   153 167.2    29  66.1 
#> 15.77 14.65 15.77 16.23 22.77 20.14 17.46 17.77 23.41 21.33 15.55 15.45 22.13 
#>  70.2   154 190.1   170  97.1    25    99  93.2   188  99.1 194.1   187     5 
#>  7.38 12.63 20.81 19.54 19.14  6.32 21.19 10.33 16.16 21.19 22.40  9.92 16.43 
#>  97.2  42.1 192.3    21    28    11    44     1   144   121  28.1     3  44.1 
#> 19.14 12.43 16.44 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84  21.1    72   1.1   1.2    47    17    27   185   172    48 185.1    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20  17.1   163    74     2   161   122    35 163.1   147     9  17.2    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62   143 144.1    95  80.1   132   193  44.2   176    22 143.1  48.1    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162   186     7 185.2   119    12    82 132.1    38   142  82.1   148  84.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.1    65   104   137   191 148.1   1.3   160   174   112   182   165  95.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 165.1  44.3    31  74.1   131  17.3 144.2   141    54   7.1  82.2  35.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[95]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.007074694               0.447618097               0.104561084 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.159066234             0.005411893            -0.161763187 
#>   grade_iii, Cure model 
#>             0.603759224 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 177   12.53      1  75        0         0
#> 10    10.53      1  34        0         0
#> 76    19.22      1  54        0         1
#> 18    15.21      1  49        1         0
#> 45    17.42      1  54        0         1
#> 86    23.81      1  58        0         1
#> 18.1  15.21      1  49        1         0
#> 52    10.42      1  52        0         1
#> 6     15.64      1  39        0         0
#> 106   16.67      1  49        1         0
#> 100   16.07      1  60        0         0
#> 68    20.62      1  44        0         0
#> 101    9.97      1  10        0         1
#> 85    16.44      1  36        0         0
#> 190   20.81      1  42        1         0
#> 68.1  20.62      1  44        0         0
#> 26    15.77      1  49        0         1
#> 88    18.37      1  47        0         0
#> 167   15.55      1  56        1         0
#> 157   15.10      1  47        0         0
#> 100.1 16.07      1  60        0         0
#> 125   15.65      1  67        1         0
#> 50    10.02      1  NA        1         0
#> 81    14.06      1  34        0         0
#> 91     5.33      1  61        0         1
#> 29    15.45      1  68        1         0
#> 129   23.41      1  53        1         0
#> 13    14.34      1  54        0         1
#> 111   17.45      1  47        0         1
#> 69    23.23      1  25        0         1
#> 111.1 17.45      1  47        0         1
#> 89    11.44      1  NA        0         0
#> 150   20.33      1  48        0         0
#> 79    16.23      1  54        1         0
#> 123   13.00      1  44        1         0
#> 16     8.71      1  71        0         1
#> 8     18.43      1  32        0         0
#> 77     7.27      1  67        0         1
#> 85.1  16.44      1  36        0         0
#> 153   21.33      1  55        1         0
#> 166   19.98      1  48        0         0
#> 25     6.32      1  34        1         0
#> 77.1   7.27      1  67        0         1
#> 187    9.92      1  39        1         0
#> 166.1 19.98      1  48        0         0
#> 145   10.07      1  65        1         0
#> 49    12.19      1  48        1         0
#> 90    20.94      1  50        0         1
#> 15    22.68      1  48        0         0
#> 79.1  16.23      1  54        1         0
#> 30    17.43      1  78        0         0
#> 97    19.14      1  65        0         1
#> 6.1   15.64      1  39        0         0
#> 51    18.23      1  83        0         1
#> 130   16.47      1  53        0         1
#> 124    9.73      1  NA        1         0
#> 77.2   7.27      1  67        0         1
#> 106.1 16.67      1  49        1         0
#> 43    12.10      1  61        0         1
#> 110   17.56      1  65        0         1
#> 10.1  10.53      1  34        0         0
#> 150.1 20.33      1  48        0         0
#> 6.2   15.64      1  39        0         0
#> 114   13.68      1  NA        0         0
#> 170   19.54      1  43        0         1
#> 125.1 15.65      1  67        1         0
#> 130.1 16.47      1  53        0         1
#> 18.2  15.21      1  49        1         0
#> 150.2 20.33      1  48        0         0
#> 189   10.51      1  NA        1         0
#> 125.2 15.65      1  67        1         0
#> 159   10.55      1  50        0         1
#> 29.1  15.45      1  68        1         0
#> 117   17.46      1  26        0         1
#> 96    14.54      1  33        0         1
#> 41    18.02      1  40        1         0
#> 57    14.46      1  45        0         1
#> 169   22.41      1  46        0         0
#> 111.2 17.45      1  47        0         1
#> 58    19.34      1  39        0         0
#> 125.3 15.65      1  67        1         0
#> 6.3   15.64      1  39        0         0
#> 37    12.52      1  57        1         0
#> 91.1   5.33      1  61        0         1
#> 25.1   6.32      1  34        1         0
#> 145.1 10.07      1  65        1         0
#> 41.1  18.02      1  40        1         0
#> 40    18.00      1  28        1         0
#> 16.1   8.71      1  71        0         1
#> 170.1 19.54      1  43        0         1
#> 88.1  18.37      1  47        0         0
#> 37.1  12.52      1  57        1         0
#> 155   13.08      1  26        0         0
#> 18.3  15.21      1  49        1         0
#> 128   20.35      1  35        0         1
#> 60    13.15      1  38        1         0
#> 184   17.77      1  38        0         0
#> 10.2  10.53      1  34        0         0
#> 4     17.64      1  NA        0         1
#> 123.1 13.00      1  44        1         0
#> 40.1  18.00      1  28        1         0
#> 42    12.43      1  49        0         1
#> 88.2  18.37      1  47        0         0
#> 90.1  20.94      1  50        0         1
#> 6.4   15.64      1  39        0         0
#> 45.1  17.42      1  54        0         1
#> 86.1  23.81      1  58        0         1
#> 10.3  10.53      1  34        0         0
#> 180   14.82      1  37        0         0
#> 133   14.65      1  57        0         0
#> 24    23.89      1  38        0         0
#> 39    15.59      1  37        0         1
#> 186   24.00      0  45        1         0
#> 200   24.00      0  64        0         0
#> 173   24.00      0  19        0         1
#> 151   24.00      0  42        0         0
#> 1     24.00      0  23        1         0
#> 3     24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 141   24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 141.1 24.00      0  44        1         0
#> 11    24.00      0  42        0         1
#> 119   24.00      0  17        0         0
#> 102   24.00      0  49        0         0
#> 22    24.00      0  52        1         0
#> 131   24.00      0  66        0         0
#> 103   24.00      0  56        1         0
#> 112   24.00      0  61        0         0
#> 7     24.00      0  37        1         0
#> 95    24.00      0  68        0         1
#> 198   24.00      0  66        0         1
#> 173.1 24.00      0  19        0         1
#> 80    24.00      0  41        0         0
#> 156   24.00      0  50        1         0
#> 142   24.00      0  53        0         0
#> 95.1  24.00      0  68        0         1
#> 65.1  24.00      0  57        1         0
#> 103.1 24.00      0  56        1         0
#> 161   24.00      0  45        0         0
#> 138.1 24.00      0  44        1         0
#> 131.1 24.00      0  66        0         0
#> 146   24.00      0  63        1         0
#> 141.2 24.00      0  44        1         0
#> 174   24.00      0  49        1         0
#> 196   24.00      0  19        0         0
#> 73    24.00      0  NA        0         1
#> 44    24.00      0  56        0         0
#> 11.1  24.00      0  42        0         1
#> 9     24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 186.1 24.00      0  45        1         0
#> 121   24.00      0  57        1         0
#> 9.1   24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 156.1 24.00      0  50        1         0
#> 198.1 24.00      0  66        0         1
#> 163   24.00      0  66        0         0
#> 87    24.00      0  27        0         0
#> 131.2 24.00      0  66        0         0
#> 95.2  24.00      0  68        0         1
#> 122   24.00      0  66        0         0
#> 27    24.00      0  63        1         0
#> 80.1  24.00      0  41        0         0
#> 9.2   24.00      0  31        1         0
#> 200.1 24.00      0  64        0         0
#> 109   24.00      0  48        0         0
#> 65.2  24.00      0  57        1         0
#> 83    24.00      0   6        0         0
#> 95.3  24.00      0  68        0         1
#> 27.1  24.00      0  63        1         0
#> 80.2  24.00      0  41        0         0
#> 126   24.00      0  48        0         0
#> 126.1 24.00      0  48        0         0
#> 84    24.00      0  39        0         1
#> 11.2  24.00      0  42        0         1
#> 80.3  24.00      0  41        0         0
#> 138.2 24.00      0  44        1         0
#> 165   24.00      0  47        0         0
#> 46    24.00      0  71        0         0
#> 112.1 24.00      0  61        0         0
#> 95.4  24.00      0  68        0         1
#> 9.3   24.00      0  31        1         0
#> 103.2 24.00      0  56        1         0
#> 200.2 24.00      0  64        0         0
#> 87.1  24.00      0  27        0         0
#> 82    24.00      0  34        0         0
#> 1.1   24.00      0  23        1         0
#> 17    24.00      0  38        0         1
#> 22.1  24.00      0  52        1         0
#> 73.1  24.00      0  NA        0         1
#> 146.1 24.00      0  63        1         0
#> 17.1  24.00      0  38        0         1
#> 109.1 24.00      0  48        0         0
#> 19    24.00      0  57        0         1
#> 82.1  24.00      0  34        0         0
#> 1.2   24.00      0  23        1         0
#> 185   24.00      0  44        1         0
#> 191   24.00      0  60        0         1
#> 135   24.00      0  58        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.159          NA        NA      NA
#> 2 age, Cure model          0.00541        NA        NA      NA
#> 3 grade_ii, Cure model    -0.162          NA        NA      NA
#> 4 grade_iii, Cure model    0.604          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00707        NA        NA      NA
#> 2 grade_ii, Survival model   0.448          NA        NA      NA
#> 3 grade_iii, Survival model  0.105          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.159066          0.005412         -0.161763          0.603759  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.1 
#> Residual Deviance: 259 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.159066234      0.005411893     -0.161763187      0.603759224 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.007074694      0.447618097      0.104561084 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.85654947 0.89848928 0.39109039 0.76120954 0.56559272 0.08344074
#>   [7] 0.76120954 0.92170644 0.69894497 0.58274406 0.64738968 0.26055893
#>  [13] 0.93897037 0.61558778 0.24693685 0.26055893 0.66283476 0.42384391
#>  [19] 0.74075361 0.78685416 0.64738968 0.67055126 0.82534659 0.98913178
#>  [25] 0.74772160 0.12822014 0.81899617 0.53046535 0.14811855 0.53046535
#>  [31] 0.29898594 0.63174729 0.84424821 0.95038177 0.41304991 0.96161071
#>  [37] 0.61558778 0.20299199 0.33413785 0.97817818 0.96161071 0.94469436
#>  [43] 0.33413785 0.92754397 0.88070565 0.21877579 0.16718920 0.63174729
#>  [49] 0.55678231 0.40218379 0.69894497 0.45450884 0.59930432 0.96161071
#>  [55] 0.58274406 0.88665994 0.51206066 0.89848928 0.29898594 0.69894497
#>  [61] 0.35733482 0.67055126 0.59930432 0.76120954 0.29898594 0.67055126
#>  [67] 0.89258601 0.74772160 0.52129017 0.80620683 0.46473471 0.81261475
#>  [73] 0.18542192 0.53046535 0.37979624 0.67055126 0.69894497 0.86269136
#>  [79] 0.98913178 0.97817818 0.92754397 0.46473471 0.48405656 0.95038177
#>  [85] 0.35733482 0.42384391 0.86269136 0.83797073 0.76120954 0.28614257
#>  [91] 0.83168374 0.50270325 0.89848928 0.84424821 0.48405656 0.87470277
#>  [97] 0.42384391 0.21877579 0.69894497 0.56559272 0.08344074 0.89848928
#> [103] 0.79332414 0.79977837 0.03885629 0.73369766 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   177    10    76    18    45    86  18.1    52     6   106   100    68   101 
#> 12.53 10.53 19.22 15.21 17.42 23.81 15.21 10.42 15.64 16.67 16.07 20.62  9.97 
#>    85   190  68.1    26    88   167   157 100.1   125    81    91    29   129 
#> 16.44 20.81 20.62 15.77 18.37 15.55 15.10 16.07 15.65 14.06  5.33 15.45 23.41 
#>    13   111    69 111.1   150    79   123    16     8    77  85.1   153   166 
#> 14.34 17.45 23.23 17.45 20.33 16.23 13.00  8.71 18.43  7.27 16.44 21.33 19.98 
#>    25  77.1   187 166.1   145    49    90    15  79.1    30    97   6.1    51 
#>  6.32  7.27  9.92 19.98 10.07 12.19 20.94 22.68 16.23 17.43 19.14 15.64 18.23 
#>   130  77.2 106.1    43   110  10.1 150.1   6.2   170 125.1 130.1  18.2 150.2 
#> 16.47  7.27 16.67 12.10 17.56 10.53 20.33 15.64 19.54 15.65 16.47 15.21 20.33 
#> 125.2   159  29.1   117    96    41    57   169 111.2    58 125.3   6.3    37 
#> 15.65 10.55 15.45 17.46 14.54 18.02 14.46 22.41 17.45 19.34 15.65 15.64 12.52 
#>  91.1  25.1 145.1  41.1    40  16.1 170.1  88.1  37.1   155  18.3   128    60 
#>  5.33  6.32 10.07 18.02 18.00  8.71 19.54 18.37 12.52 13.08 15.21 20.35 13.15 
#>   184  10.2 123.1  40.1    42  88.2  90.1   6.4  45.1  86.1  10.3   180   133 
#> 17.77 10.53 13.00 18.00 12.43 18.37 20.94 15.64 17.42 23.81 10.53 14.82 14.65 
#>    24    39   186   200   173   151     1     3   138   141    65 141.1    11 
#> 23.89 15.59 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   119   102    22   131   103   112     7    95   198 173.1    80   156   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  95.1  65.1 103.1   161 138.1 131.1   146 141.2   174   196    44  11.1     9 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53 186.1   121   9.1    67 156.1 198.1   163    87 131.2  95.2   122    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  80.1   9.2 200.1   109  65.2    83  95.3  27.1  80.2   126 126.1    84  11.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  80.3 138.2   165    46 112.1  95.4   9.3 103.2 200.2  87.1    82   1.1    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  22.1 146.1  17.1 109.1    19  82.1   1.2   185   191   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[96]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01157531                0.82693776                0.69491525 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.614415327             0.011291726             0.008471872 
#>   grade_iii, Cure model 
#>             0.985016392 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 190   20.81      1  42        1         0
#> 159   10.55      1  50        0         1
#> 166   19.98      1  48        0         0
#> 192   16.44      1  31        1         0
#> 81    14.06      1  34        0         0
#> 113   22.86      1  34        0         0
#> 92    22.92      1  47        0         1
#> 105   19.75      1  60        0         0
#> 117   17.46      1  26        0         1
#> 153   21.33      1  55        1         0
#> 78    23.88      1  43        0         0
#> 179   18.63      1  42        0         0
#> 76    19.22      1  54        0         1
#> 86    23.81      1  58        0         1
#> 23    16.92      1  61        0         0
#> 45    17.42      1  54        0         1
#> 61    10.12      1  36        0         1
#> 88    18.37      1  47        0         0
#> 24    23.89      1  38        0         0
#> 108   18.29      1  39        0         1
#> 26    15.77      1  49        0         1
#> 190.1 20.81      1  42        1         0
#> 30    17.43      1  78        0         0
#> 114   13.68      1  NA        0         0
#> 76.1  19.22      1  54        0         1
#> 81.1  14.06      1  34        0         0
#> 10    10.53      1  34        0         0
#> 24.1  23.89      1  38        0         0
#> 77     7.27      1  67        0         1
#> 188   16.16      1  46        0         1
#> 157   15.10      1  47        0         0
#> 183    9.24      1  67        1         0
#> 93    10.33      1  52        0         1
#> 183.1  9.24      1  67        1         0
#> 110   17.56      1  65        0         1
#> 189   10.51      1  NA        1         0
#> 49    12.19      1  48        1         0
#> 195   11.76      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 70     7.38      1  30        1         0
#> 61.1  10.12      1  36        0         1
#> 154   12.63      1  20        1         0
#> 168   23.72      1  70        0         0
#> 183.2  9.24      1  67        1         0
#> 60    13.15      1  38        1         0
#> 42    12.43      1  49        0         1
#> 18    15.21      1  49        1         0
#> 169   22.41      1  46        0         0
#> 117.1 17.46      1  26        0         1
#> 5     16.43      1  51        0         1
#> 90    20.94      1  50        0         1
#> 117.2 17.46      1  26        0         1
#> 58    19.34      1  39        0         0
#> 166.1 19.98      1  48        0         0
#> 179.1 18.63      1  42        0         0
#> 183.3  9.24      1  67        1         0
#> 170   19.54      1  43        0         1
#> 99    21.19      1  38        0         1
#> 181   16.46      1  45        0         1
#> 43    12.10      1  61        0         1
#> 108.1 18.29      1  39        0         1
#> 194   22.40      1  38        0         1
#> 187    9.92      1  39        1         0
#> 43.1  12.10      1  61        0         1
#> 52    10.42      1  52        0         1
#> 159.1 10.55      1  50        0         1
#> 100   16.07      1  60        0         0
#> 51    18.23      1  83        0         1
#> 158   20.14      1  74        1         0
#> 157.1 15.10      1  47        0         0
#> 192.1 16.44      1  31        1         0
#> 190.2 20.81      1  42        1         0
#> 89    11.44      1  NA        0         0
#> 77.1   7.27      1  67        0         1
#> 24.2  23.89      1  38        0         0
#> 91     5.33      1  61        0         1
#> 92.1  22.92      1  47        0         1
#> 45.1  17.42      1  54        0         1
#> 158.1 20.14      1  74        1         0
#> 190.3 20.81      1  42        1         0
#> 52.1  10.42      1  52        0         1
#> 117.3 17.46      1  26        0         1
#> 26.1  15.77      1  49        0         1
#> 63    22.77      1  31        1         0
#> 13    14.34      1  54        0         1
#> 190.4 20.81      1  42        1         0
#> 105.1 19.75      1  60        0         0
#> 78.1  23.88      1  43        0         0
#> 166.2 19.98      1  48        0         0
#> 6     15.64      1  39        0         0
#> 192.2 16.44      1  31        1         0
#> 136   21.83      1  43        0         1
#> 113.1 22.86      1  34        0         0
#> 180   14.82      1  37        0         0
#> 139   21.49      1  63        1         0
#> 36    21.19      1  48        0         1
#> 108.2 18.29      1  39        0         1
#> 192.3 16.44      1  31        1         0
#> 57    14.46      1  45        0         1
#> 145   10.07      1  65        1         0
#> 106   16.67      1  49        1         0
#> 42.1  12.43      1  49        0         1
#> 37    12.52      1  57        1         0
#> 10.1  10.53      1  34        0         0
#> 123   13.00      1  44        1         0
#> 140   12.68      1  59        1         0
#> 96    14.54      1  33        0         1
#> 85    16.44      1  36        0         0
#> 81.2  14.06      1  34        0         0
#> 136.1 21.83      1  43        0         1
#> 78.2  23.88      1  43        0         0
#> 66    22.13      1  53        0         0
#> 17    24.00      0  38        0         1
#> 34    24.00      0  36        0         0
#> 83    24.00      0   6        0         0
#> 104   24.00      0  50        1         0
#> 21    24.00      0  47        0         0
#> 75    24.00      0  21        1         0
#> 173   24.00      0  19        0         1
#> 146   24.00      0  63        1         0
#> 33    24.00      0  53        0         0
#> 12    24.00      0  63        0         0
#> 17.1  24.00      0  38        0         1
#> 87    24.00      0  27        0         0
#> 102   24.00      0  49        0         0
#> 186   24.00      0  45        1         0
#> 38    24.00      0  31        1         0
#> 146.1 24.00      0  63        1         0
#> 142   24.00      0  53        0         0
#> 74    24.00      0  43        0         1
#> 35    24.00      0  51        0         0
#> 27    24.00      0  63        1         0
#> 138   24.00      0  44        1         0
#> 47    24.00      0  38        0         1
#> 104.1 24.00      0  50        1         0
#> 182   24.00      0  35        0         0
#> 118   24.00      0  44        1         0
#> 46    24.00      0  71        0         0
#> 98    24.00      0  34        1         0
#> 132   24.00      0  55        0         0
#> 126   24.00      0  48        0         0
#> 103   24.00      0  56        1         0
#> 176   24.00      0  43        0         1
#> 1     24.00      0  23        1         0
#> 64    24.00      0  43        0         0
#> 46.1  24.00      0  71        0         0
#> 173.1 24.00      0  19        0         1
#> 142.1 24.00      0  53        0         0
#> 82    24.00      0  34        0         0
#> 72    24.00      0  40        0         1
#> 2     24.00      0   9        0         0
#> 193   24.00      0  45        0         1
#> 2.1   24.00      0   9        0         0
#> 20    24.00      0  46        1         0
#> 73    24.00      0  NA        0         1
#> 102.1 24.00      0  49        0         0
#> 176.1 24.00      0  43        0         1
#> 62    24.00      0  71        0         0
#> 83.1  24.00      0   6        0         0
#> 27.1  24.00      0  63        1         0
#> 20.1  24.00      0  46        1         0
#> 119   24.00      0  17        0         0
#> 131   24.00      0  66        0         0
#> 141   24.00      0  44        1         0
#> 3     24.00      0  31        1         0
#> 198   24.00      0  66        0         1
#> 160   24.00      0  31        1         0
#> 46.2  24.00      0  71        0         0
#> 161   24.00      0  45        0         0
#> 142.2 24.00      0  53        0         0
#> 103.1 24.00      0  56        1         0
#> 144   24.00      0  28        0         1
#> 147   24.00      0  76        1         0
#> 151   24.00      0  42        0         0
#> 20.2  24.00      0  46        1         0
#> 27.2  24.00      0  63        1         0
#> 137   24.00      0  45        1         0
#> 120   24.00      0  68        0         1
#> 75.1  24.00      0  21        1         0
#> 116   24.00      0  58        0         1
#> 2.2   24.00      0   9        0         0
#> 126.1 24.00      0  48        0         0
#> 163   24.00      0  66        0         0
#> 121   24.00      0  57        1         0
#> 151.1 24.00      0  42        0         0
#> 54    24.00      0  53        1         0
#> 198.1 24.00      0  66        0         1
#> 67    24.00      0  25        0         0
#> 27.3  24.00      0  63        1         0
#> 12.1  24.00      0  63        0         0
#> 12.2  24.00      0  63        0         0
#> 74.1  24.00      0  43        0         1
#> 176.2 24.00      0  43        0         1
#> 9     24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 83.2  24.00      0   6        0         0
#> 146.2 24.00      0  63        1         0
#> 173.2 24.00      0  19        0         1
#> 193.1 24.00      0  45        0         1
#> 126.2 24.00      0  48        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.614          NA        NA      NA
#> 2 age, Cure model          0.0113         NA        NA      NA
#> 3 grade_ii, Cure model     0.00847        NA        NA      NA
#> 4 grade_iii, Cure model    0.985          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0116        NA        NA      NA
#> 2 grade_ii, Survival model    0.827         NA        NA      NA
#> 3 grade_iii, Survival model   0.695         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.614415          0.011292          0.008472          0.985016  
#> 
#> Degrees of Freedom: 194 Total (i.e. Null);  191 Residual
#> Null Deviance:	    268.1 
#> Residual Deviance: 257.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.614415327      0.011291726      0.008471872      0.985016392 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01157531       0.82693776       0.69491525 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.6043922 0.9383215 0.6559732 0.8116894 0.8890039 0.4397559 0.4063840
#>   [8] 0.6762268 0.7614192 0.5650987 0.2453952 0.7148956 0.7025717 0.3354978
#>  [15] 0.7971070 0.7871867 0.9624152 0.7270879 0.1288623 0.7331728 0.8473356
#>  [22] 0.6043922 0.7820321 0.7025717 0.8890039 0.9452869 0.1288623 0.9910051
#>  [29] 0.8385443 0.8643154 0.9756115 0.9590366 0.9756115 0.7559578 0.9275778
#>  [36] 0.3849301 0.9879320 0.9624152 0.9126433 0.3612668 0.9756115 0.9009410
#>  [43] 0.9202211 0.8601185 0.4871353 0.7614192 0.8340806 0.5950321 0.7614192
#>  [50] 0.6960682 0.6559732 0.7148956 0.9756115 0.6895298 0.5756820 0.8069044
#>  [57] 0.9312203 0.7331728 0.5019938 0.9723527 0.9312203 0.9522277 0.9383215
#>  [64] 0.8429515 0.7503651 0.6420801 0.8643154 0.8116894 0.6043922 0.9910051
#>  [71] 0.1288623 0.9970170 0.4063840 0.7871867 0.6420801 0.6043922 0.9522277
#>  [78] 0.7614192 0.8473356 0.4719513 0.8849808 0.6043922 0.6762268 0.2453952
#>  [85] 0.6559732 0.8558585 0.8116894 0.5296500 0.4397559 0.8726307 0.5538134
#>  [92] 0.5756820 0.7331728 0.8116894 0.8809068 0.9690654 0.8020510 0.9202211
#>  [99] 0.9164590 0.9452869 0.9048931 0.9087973 0.8767876 0.8116894 0.8890039
#> [106] 0.5296500 0.2453952 0.5159788 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [190] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>   190   159   166   192    81   113    92   105   117   153    78   179    76 
#> 20.81 10.55 19.98 16.44 14.06 22.86 22.92 19.75 17.46 21.33 23.88 18.63 19.22 
#>    86    23    45    61    88    24   108    26 190.1    30  76.1  81.1    10 
#> 23.81 16.92 17.42 10.12 18.37 23.89 18.29 15.77 20.81 17.43 19.22 14.06 10.53 
#>  24.1    77   188   157   183    93 183.1   110    49    69    70  61.1   154 
#> 23.89  7.27 16.16 15.10  9.24 10.33  9.24 17.56 12.19 23.23  7.38 10.12 12.63 
#>   168 183.2    60    42    18   169 117.1     5    90 117.2    58 166.1 179.1 
#> 23.72  9.24 13.15 12.43 15.21 22.41 17.46 16.43 20.94 17.46 19.34 19.98 18.63 
#> 183.3   170    99   181    43 108.1   194   187  43.1    52 159.1   100    51 
#>  9.24 19.54 21.19 16.46 12.10 18.29 22.40  9.92 12.10 10.42 10.55 16.07 18.23 
#>   158 157.1 192.1 190.2  77.1  24.2    91  92.1  45.1 158.1 190.3  52.1 117.3 
#> 20.14 15.10 16.44 20.81  7.27 23.89  5.33 22.92 17.42 20.14 20.81 10.42 17.46 
#>  26.1    63    13 190.4 105.1  78.1 166.2     6 192.2   136 113.1   180   139 
#> 15.77 22.77 14.34 20.81 19.75 23.88 19.98 15.64 16.44 21.83 22.86 14.82 21.49 
#>    36 108.2 192.3    57   145   106  42.1    37  10.1   123   140    96    85 
#> 21.19 18.29 16.44 14.46 10.07 16.67 12.43 12.52 10.53 13.00 12.68 14.54 16.44 
#>  81.2 136.1  78.2    66    17    34    83   104    21    75   173   146    33 
#> 14.06 21.83 23.88 22.13 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12  17.1    87   102   186    38 146.1   142    74    35    27   138    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 104.1   182   118    46    98   132   126   103   176     1    64  46.1 173.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 142.1    82    72     2   193   2.1    20 102.1 176.1    62  83.1  27.1  20.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   119   131   141     3   198   160  46.2   161 142.2 103.1   144   147   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  20.2  27.2   137   120  75.1   116   2.2 126.1   163   121 151.1    54 198.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67  27.3  12.1  12.2  74.1 176.2     9   185  83.2 146.2 173.2 193.1 126.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[97]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.009538587               0.995222241               0.979246794 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.01146663              0.01748856              0.10173974 
#>   grade_iii, Cure model 
#>              1.18700971 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 187    9.92      1  39        1         0
#> 181   16.46      1  45        0         1
#> 63    22.77      1  31        1         0
#> 183    9.24      1  67        1         0
#> 66    22.13      1  53        0         0
#> 79    16.23      1  54        1         0
#> 58    19.34      1  39        0         0
#> 134   17.81      1  47        1         0
#> 171   16.57      1  41        0         1
#> 123   13.00      1  44        1         0
#> 108   18.29      1  39        0         1
#> 139   21.49      1  63        1         0
#> 110   17.56      1  65        0         1
#> 85    16.44      1  36        0         0
#> 195   11.76      1  NA        1         0
#> 139.1 21.49      1  63        1         0
#> 32    20.90      1  37        1         0
#> 128   20.35      1  35        0         1
#> 45    17.42      1  54        0         1
#> 140   12.68      1  59        1         0
#> 15    22.68      1  48        0         0
#> 111   17.45      1  47        0         1
#> 91     5.33      1  61        0         1
#> 60    13.15      1  38        1         0
#> 130   16.47      1  53        0         1
#> 79.1  16.23      1  54        1         0
#> 187.1  9.92      1  39        1         0
#> 157   15.10      1  47        0         0
#> 66.1  22.13      1  53        0         0
#> 190   20.81      1  42        1         0
#> 32.1  20.90      1  37        1         0
#> 57    14.46      1  45        0         1
#> 26    15.77      1  49        0         1
#> 192   16.44      1  31        1         0
#> 199   19.81      1  NA        0         1
#> 166   19.98      1  48        0         0
#> 101    9.97      1  10        0         1
#> 130.1 16.47      1  53        0         1
#> 192.1 16.44      1  31        1         0
#> 52    10.42      1  52        0         1
#> 187.2  9.92      1  39        1         0
#> 79.2  16.23      1  54        1         0
#> 133   14.65      1  57        0         0
#> 128.1 20.35      1  35        0         1
#> 77     7.27      1  67        0         1
#> 43    12.10      1  61        0         1
#> 59    10.16      1  NA        1         0
#> 105   19.75      1  60        0         0
#> 199.1 19.81      1  NA        0         1
#> 61    10.12      1  36        0         1
#> 149    8.37      1  33        1         0
#> 39    15.59      1  37        0         1
#> 123.1 13.00      1  44        1         0
#> 169   22.41      1  46        0         0
#> 125   15.65      1  67        1         0
#> 36    21.19      1  48        0         1
#> 81    14.06      1  34        0         0
#> 127    3.53      1  62        0         1
#> 91.1   5.33      1  61        0         1
#> 168   23.72      1  70        0         0
#> 93    10.33      1  52        0         1
#> 100   16.07      1  60        0         0
#> 30    17.43      1  78        0         0
#> 23    16.92      1  61        0         0
#> 124    9.73      1  NA        1         0
#> 188   16.16      1  46        0         1
#> 15.1  22.68      1  48        0         0
#> 108.1 18.29      1  39        0         1
#> 127.1  3.53      1  62        0         1
#> 85.1  16.44      1  36        0         0
#> 39.1  15.59      1  37        0         1
#> 175   21.91      1  43        0         0
#> 157.1 15.10      1  47        0         0
#> 106   16.67      1  49        1         0
#> 101.1  9.97      1  10        0         1
#> 81.1  14.06      1  34        0         0
#> 145   10.07      1  65        1         0
#> 194   22.40      1  38        0         1
#> 91.2   5.33      1  61        0         1
#> 175.1 21.91      1  43        0         0
#> 117   17.46      1  26        0         1
#> 37    12.52      1  57        1         0
#> 51    18.23      1  83        0         1
#> 106.1 16.67      1  49        1         0
#> 199.2 19.81      1  NA        0         1
#> 23.1  16.92      1  61        0         0
#> 16     8.71      1  71        0         1
#> 108.2 18.29      1  39        0         1
#> 177   12.53      1  75        0         0
#> 195.1 11.76      1  NA        1         0
#> 170   19.54      1  43        0         1
#> 6     15.64      1  39        0         0
#> 145.1 10.07      1  65        1         0
#> 15.2  22.68      1  48        0         0
#> 106.2 16.67      1  49        1         0
#> 127.2  3.53      1  62        0         1
#> 188.1 16.16      1  46        0         1
#> 136   21.83      1  43        0         1
#> 125.1 15.65      1  67        1         0
#> 99    21.19      1  38        0         1
#> 105.1 19.75      1  60        0         0
#> 70     7.38      1  30        1         0
#> 189   10.51      1  NA        1         0
#> 51.1  18.23      1  83        0         1
#> 37.1  12.52      1  57        1         0
#> 187.3  9.92      1  39        1         0
#> 16.1   8.71      1  71        0         1
#> 85.2  16.44      1  36        0         0
#> 168.1 23.72      1  70        0         0
#> 37.2  12.52      1  57        1         0
#> 78    23.88      1  43        0         0
#> 23.2  16.92      1  61        0         0
#> 103   24.00      0  56        1         0
#> 165   24.00      0  47        0         0
#> 9     24.00      0  31        1         0
#> 160   24.00      0  31        1         0
#> 84    24.00      0  39        0         1
#> 186   24.00      0  45        1         0
#> 144   24.00      0  28        0         1
#> 185   24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 126   24.00      0  48        0         0
#> 73    24.00      0  NA        0         1
#> 47    24.00      0  38        0         1
#> 120   24.00      0  68        0         1
#> 178   24.00      0  52        1         0
#> 84.1  24.00      0  39        0         1
#> 22    24.00      0  52        1         0
#> 196   24.00      0  19        0         0
#> 132   24.00      0  55        0         0
#> 162   24.00      0  51        0         0
#> 104   24.00      0  50        1         0
#> 65    24.00      0  57        1         0
#> 121   24.00      0  57        1         0
#> 104.1 24.00      0  50        1         0
#> 126.1 24.00      0  48        0         0
#> 160.1 24.00      0  31        1         0
#> 185.1 24.00      0  44        1         0
#> 65.1  24.00      0  57        1         0
#> 174   24.00      0  49        1         0
#> 137   24.00      0  45        1         0
#> 62    24.00      0  71        0         0
#> 34    24.00      0  36        0         0
#> 137.1 24.00      0  45        1         0
#> 118   24.00      0  44        1         0
#> 185.2 24.00      0  44        1         0
#> 9.1   24.00      0  31        1         0
#> 48    24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 132.1 24.00      0  55        0         0
#> 109   24.00      0  48        0         0
#> 121.1 24.00      0  57        1         0
#> 138   24.00      0  44        1         0
#> 11    24.00      0  42        0         1
#> 31    24.00      0  36        0         1
#> 112   24.00      0  61        0         0
#> 47.1  24.00      0  38        0         1
#> 160.2 24.00      0  31        1         0
#> 143   24.00      0  51        0         0
#> 120.1 24.00      0  68        0         1
#> 22.1  24.00      0  52        1         0
#> 87    24.00      0  27        0         0
#> 46    24.00      0  71        0         0
#> 9.2   24.00      0  31        1         0
#> 34.1  24.00      0  36        0         0
#> 64    24.00      0  43        0         0
#> 112.1 24.00      0  61        0         0
#> 20    24.00      0  46        1         0
#> 120.2 24.00      0  68        0         1
#> 112.2 24.00      0  61        0         0
#> 83    24.00      0   6        0         0
#> 87.1  24.00      0  27        0         0
#> 82    24.00      0  34        0         0
#> 160.3 24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 165.1 24.00      0  47        0         0
#> 115   24.00      0  NA        1         0
#> 27    24.00      0  63        1         0
#> 118.1 24.00      0  44        1         0
#> 138.1 24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 198   24.00      0  66        0         1
#> 118.2 24.00      0  44        1         0
#> 165.2 24.00      0  47        0         0
#> 19    24.00      0  57        0         1
#> 161.1 24.00      0  45        0         0
#> 163   24.00      0  66        0         0
#> 72    24.00      0  40        0         1
#> 122   24.00      0  66        0         0
#> 165.3 24.00      0  47        0         0
#> 119   24.00      0  17        0         0
#> 21    24.00      0  47        0         0
#> 87.2  24.00      0  27        0         0
#> 122.1 24.00      0  66        0         0
#> 104.2 24.00      0  50        1         0
#> 12    24.00      0  63        0         0
#> 27.1  24.00      0  63        1         0
#> 53    24.00      0  32        0         1
#> 132.2 24.00      0  55        0         0
#> 109.1 24.00      0  48        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.01          NA        NA      NA
#> 2 age, Cure model           0.0175        NA        NA      NA
#> 3 grade_ii, Cure model      0.102         NA        NA      NA
#> 4 grade_iii, Cure model     1.19          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00954        NA        NA      NA
#> 2 grade_ii, Survival model   0.995          NA        NA      NA
#> 3 grade_iii, Survival model  0.979          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.01147           0.01749           0.10174           1.18701  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 248 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.01146663       0.01748856       0.10173974       1.18700971 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.009538587      0.995222241      0.979246794 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.95336838 0.79383350 0.27443241 0.96570430 0.42851309 0.82261358
#>   [7] 0.66093326 0.70649160 0.77830514 0.90133871 0.66955382 0.52408558
#>  [13] 0.71326886 0.79884163 0.52408558 0.57515657 0.60658425 0.73857304
#>  [19] 0.90883473 0.30652265 0.72619323 0.98349210 0.89748274 0.78365097
#>  [25] 0.82261358 0.95336838 0.87384954 0.42851309 0.59641450 0.57515657
#>  [31] 0.88577326 0.84923126 0.79884163 0.62508193 0.94693615 0.78365097
#>  [37] 0.79884163 0.93023426 0.95336838 0.82261358 0.88180133 0.60658425
#>  [43] 0.98059600 0.92675702 0.63432027 0.93706011 0.97471073 0.86585661
#>  [49] 0.90133871 0.38104753 0.85352305 0.55139595 0.88969091 0.99187685
#>  [55] 0.98349210 0.18957483 0.93366822 0.84486783 0.73241202 0.74456140
#>  [61] 0.83612873 0.30652265 0.66955382 0.99187685 0.79884163 0.86585661
#>  [67] 0.46839015 0.87384954 0.76205197 0.94693615 0.88969091 0.94041853
#>  [73] 0.40672295 0.98349210 0.46839015 0.71980100 0.91621607 0.69257214
#>  [79] 0.76205197 0.74456140 0.96876267 0.66955382 0.91253320 0.65226174
#>  [85] 0.86174476 0.94041853 0.30652265 0.76205197 0.99187685 0.83612873
#>  [91] 0.50661972 0.85352305 0.55139595 0.63432027 0.97766489 0.69257214
#>  [97] 0.91621607 0.95336838 0.96876267 0.79884163 0.18957483 0.91621607
#> [103] 0.09763532 0.74456140 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   187   181    63   183    66    79    58   134   171   123   108   139   110 
#>  9.92 16.46 22.77  9.24 22.13 16.23 19.34 17.81 16.57 13.00 18.29 21.49 17.56 
#>    85 139.1    32   128    45   140    15   111    91    60   130  79.1 187.1 
#> 16.44 21.49 20.90 20.35 17.42 12.68 22.68 17.45  5.33 13.15 16.47 16.23  9.92 
#>   157  66.1   190  32.1    57    26   192   166   101 130.1 192.1    52 187.2 
#> 15.10 22.13 20.81 20.90 14.46 15.77 16.44 19.98  9.97 16.47 16.44 10.42  9.92 
#>  79.2   133 128.1    77    43   105    61   149    39 123.1   169   125    36 
#> 16.23 14.65 20.35  7.27 12.10 19.75 10.12  8.37 15.59 13.00 22.41 15.65 21.19 
#>    81   127  91.1   168    93   100    30    23   188  15.1 108.1 127.1  85.1 
#> 14.06  3.53  5.33 23.72 10.33 16.07 17.43 16.92 16.16 22.68 18.29  3.53 16.44 
#>  39.1   175 157.1   106 101.1  81.1   145   194  91.2 175.1   117    37    51 
#> 15.59 21.91 15.10 16.67  9.97 14.06 10.07 22.40  5.33 21.91 17.46 12.52 18.23 
#> 106.1  23.1    16 108.2   177   170     6 145.1  15.2 106.2 127.2 188.1   136 
#> 16.67 16.92  8.71 18.29 12.53 19.54 15.64 10.07 22.68 16.67  3.53 16.16 21.83 
#> 125.1    99 105.1    70  51.1  37.1 187.3  16.1  85.2 168.1  37.2    78  23.2 
#> 15.65 21.19 19.75  7.38 18.23 12.52  9.92  8.71 16.44 23.72 12.52 23.88 16.92 
#>   103   165     9   160    84   186   144   185     7   126    47   120   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  84.1    22   196   132   162   104    65   121 104.1 126.1 160.1 185.1  65.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174   137    62    34 137.1   118 185.2   9.1    48   193 132.1   109 121.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138    11    31   112  47.1 160.2   143 120.1  22.1    87    46   9.2  34.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64 112.1    20 120.2 112.2    83  87.1    82 160.3   161 165.1    27 118.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 138.1   146   198 118.2 165.2    19 161.1   163    72   122 165.3   119    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  87.2 122.1 104.2    12  27.1    53 132.2 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[98]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00657128                0.61046616                0.61242607 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              0.26109353             -0.01132165              0.33576677 
#>   grade_iii, Cure model 
#>              1.02123196 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 5     16.43      1  51        0         1
#> 134   17.81      1  47        1         0
#> 70     7.38      1  30        1         0
#> 40    18.00      1  28        1         0
#> 197   21.60      1  69        1         0
#> 111   17.45      1  47        0         1
#> 189   10.51      1  NA        1         0
#> 76    19.22      1  54        0         1
#> 179   18.63      1  42        0         0
#> 171   16.57      1  41        0         1
#> 68    20.62      1  44        0         0
#> 167   15.55      1  56        1         0
#> 117   17.46      1  26        0         1
#> 190   20.81      1  42        1         0
#> 77     7.27      1  67        0         1
#> 136   21.83      1  43        0         1
#> 52    10.42      1  52        0         1
#> 32    20.90      1  37        1         0
#> 133   14.65      1  57        0         0
#> 136.1 21.83      1  43        0         1
#> 18    15.21      1  49        1         0
#> 150   20.33      1  48        0         0
#> 140   12.68      1  59        1         0
#> 96    14.54      1  33        0         1
#> 69    23.23      1  25        0         1
#> 24    23.89      1  38        0         0
#> 150.1 20.33      1  48        0         0
#> 97    19.14      1  65        0         1
#> 128   20.35      1  35        0         1
#> 199   19.81      1  NA        0         1
#> 79    16.23      1  54        1         0
#> 157   15.10      1  47        0         0
#> 96.1  14.54      1  33        0         1
#> 197.1 21.60      1  69        1         0
#> 15    22.68      1  48        0         0
#> 32.1  20.90      1  37        1         0
#> 110   17.56      1  65        0         1
#> 124    9.73      1  NA        1         0
#> 124.1  9.73      1  NA        1         0
#> 113   22.86      1  34        0         0
#> 188   16.16      1  46        0         1
#> 157.1 15.10      1  47        0         0
#> 166   19.98      1  48        0         0
#> 189.1 10.51      1  NA        1         0
#> 175   21.91      1  43        0         0
#> 61    10.12      1  36        0         1
#> 155   13.08      1  26        0         0
#> 168   23.72      1  70        0         0
#> 68.1  20.62      1  44        0         0
#> 68.2  20.62      1  44        0         0
#> 57    14.46      1  45        0         1
#> 113.1 22.86      1  34        0         0
#> 150.2 20.33      1  48        0         0
#> 145   10.07      1  65        1         0
#> 13    14.34      1  54        0         1
#> 45    17.42      1  54        0         1
#> 13.1  14.34      1  54        0         1
#> 70.1   7.38      1  30        1         0
#> 145.1 10.07      1  65        1         0
#> 127    3.53      1  62        0         1
#> 197.2 21.60      1  69        1         0
#> 181   16.46      1  45        0         1
#> 105   19.75      1  60        0         0
#> 181.1 16.46      1  45        0         1
#> 41    18.02      1  40        1         0
#> 168.1 23.72      1  70        0         0
#> 159   10.55      1  50        0         1
#> 13.2  14.34      1  54        0         1
#> 123   13.00      1  44        1         0
#> 96.2  14.54      1  33        0         1
#> 89    11.44      1  NA        0         0
#> 155.1 13.08      1  26        0         0
#> 13.3  14.34      1  54        0         1
#> 110.1 17.56      1  65        0         1
#> 114   13.68      1  NA        0         0
#> 159.1 10.55      1  50        0         1
#> 117.1 17.46      1  26        0         1
#> 92    22.92      1  47        0         1
#> 92.1  22.92      1  47        0         1
#> 177   12.53      1  75        0         0
#> 76.1  19.22      1  54        0         1
#> 184   17.77      1  38        0         0
#> 175.1 21.91      1  43        0         0
#> 93    10.33      1  52        0         1
#> 79.1  16.23      1  54        1         0
#> 158   20.14      1  74        1         0
#> 42    12.43      1  49        0         1
#> 18.1  15.21      1  49        1         0
#> 110.2 17.56      1  65        0         1
#> 42.1  12.43      1  49        0         1
#> 14    12.89      1  21        0         0
#> 90    20.94      1  50        0         1
#> 26    15.77      1  49        0         1
#> 52.1  10.42      1  52        0         1
#> 88    18.37      1  47        0         0
#> 14.1  12.89      1  21        0         0
#> 154   12.63      1  20        1         0
#> 117.2 17.46      1  26        0         1
#> 99    21.19      1  38        0         1
#> 39    15.59      1  37        0         1
#> 70.2   7.38      1  30        1         0
#> 150.3 20.33      1  48        0         0
#> 106   16.67      1  49        1         0
#> 188.1 16.16      1  46        0         1
#> 127.1  3.53      1  62        0         1
#> 181.2 16.46      1  45        0         1
#> 86    23.81      1  58        0         1
#> 42.2  12.43      1  49        0         1
#> 129   23.41      1  53        1         0
#> 52.2  10.42      1  52        0         1
#> 105.1 19.75      1  60        0         0
#> 60    13.15      1  38        1         0
#> 95    24.00      0  68        0         1
#> 173   24.00      0  19        0         1
#> 118   24.00      0  44        1         0
#> 138   24.00      0  44        1         0
#> 196   24.00      0  19        0         0
#> 196.1 24.00      0  19        0         0
#> 2     24.00      0   9        0         0
#> 151   24.00      0  42        0         0
#> 165   24.00      0  47        0         0
#> 35    24.00      0  51        0         0
#> 109   24.00      0  48        0         0
#> 11    24.00      0  42        0         1
#> 120   24.00      0  68        0         1
#> 120.1 24.00      0  68        0         1
#> 2.1   24.00      0   9        0         0
#> 148   24.00      0  61        1         0
#> 163   24.00      0  66        0         0
#> 135   24.00      0  58        1         0
#> 53    24.00      0  32        0         1
#> 143   24.00      0  51        0         0
#> 12    24.00      0  63        0         0
#> 33    24.00      0  53        0         0
#> 132   24.00      0  55        0         0
#> 178   24.00      0  52        1         0
#> 84    24.00      0  39        0         1
#> 198   24.00      0  66        0         1
#> 116   24.00      0  58        0         1
#> 178.1 24.00      0  52        1         0
#> 142   24.00      0  53        0         0
#> 22    24.00      0  52        1         0
#> 126   24.00      0  48        0         0
#> 9     24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 21    24.00      0  47        0         0
#> 72    24.00      0  40        0         1
#> 44    24.00      0  56        0         0
#> 132.1 24.00      0  55        0         0
#> 196.2 24.00      0  19        0         0
#> 131   24.00      0  66        0         0
#> 54    24.00      0  53        1         0
#> 62    24.00      0  71        0         0
#> 64    24.00      0  43        0         0
#> 146   24.00      0  63        1         0
#> 122   24.00      0  66        0         0
#> 94    24.00      0  51        0         1
#> 74    24.00      0  43        0         1
#> 65    24.00      0  57        1         0
#> 20    24.00      0  46        1         0
#> 196.3 24.00      0  19        0         0
#> 65.1  24.00      0  57        1         0
#> 11.1  24.00      0  42        0         1
#> 178.2 24.00      0  52        1         0
#> 33.1  24.00      0  53        0         0
#> 115   24.00      0  NA        1         0
#> 120.2 24.00      0  68        0         1
#> 48    24.00      0  31        1         0
#> 102   24.00      0  49        0         0
#> 21.1  24.00      0  47        0         0
#> 152   24.00      0  36        0         1
#> 46    24.00      0  71        0         0
#> 62.1  24.00      0  71        0         0
#> 156   24.00      0  50        1         0
#> 103   24.00      0  56        1         0
#> 17    24.00      0  38        0         1
#> 137   24.00      0  45        1         0
#> 53.1  24.00      0  32        0         1
#> 165.1 24.00      0  47        0         0
#> 141   24.00      0  44        1         0
#> 147   24.00      0  76        1         0
#> 48.1  24.00      0  31        1         0
#> 120.3 24.00      0  68        0         1
#> 131.1 24.00      0  66        0         0
#> 132.2 24.00      0  55        0         0
#> 198.1 24.00      0  66        0         1
#> 17.1  24.00      0  38        0         1
#> 165.2 24.00      0  47        0         0
#> 185   24.00      0  44        1         0
#> 120.4 24.00      0  68        0         1
#> 102.1 24.00      0  49        0         0
#> 46.1  24.00      0  71        0         0
#> 47    24.00      0  38        0         1
#> 174   24.00      0  49        1         0
#> 152.1 24.00      0  36        0         1
#> 156.1 24.00      0  50        1         0
#> 116.1 24.00      0  58        0         1
#> 103.1 24.00      0  56        1         0
#> 131.2 24.00      0  66        0         0
#> 33.2  24.00      0  53        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model   0.261         NA        NA      NA
#> 2 age, Cure model          -0.0113        NA        NA      NA
#> 3 grade_ii, Cure model      0.336         NA        NA      NA
#> 4 grade_iii, Cure model     1.02          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00657        NA        NA      NA
#> 2 grade_ii, Survival model   0.610          NA        NA      NA
#> 3 grade_iii, Survival model  0.612          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          0.26109          -0.01132           0.33577           1.02123  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.5 
#> Residual Deviance: 254.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.26109353      -0.01132165       0.33576677       1.02123196 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00657128       0.61046616       0.61242607 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.593606601 0.450990088 0.951999054 0.440884884 0.179599950 0.528592943
#>   [7] 0.379605131 0.410058259 0.557068132 0.260584888 0.656386263 0.500300012
#>  [13] 0.250773141 0.975981182 0.157851592 0.894763729 0.231236112 0.700173646
#>  [19] 0.157851592 0.665228474 0.299621973 0.827895826 0.709030083 0.069180017
#>  [25] 0.005153347 0.299621973 0.399855029 0.289723866 0.602757938 0.682641636
#>  [31] 0.709030083 0.179599950 0.123358554 0.231236112 0.471090769 0.101919343
#>  [37] 0.620763692 0.682641636 0.348789677 0.134873542 0.927534731 0.785529383
#>  [43] 0.030376609 0.260584888 0.260584888 0.734806201 0.101919343 0.299621973
#>  [49] 0.935732475 0.743462547 0.538135879 0.743462547 0.951999054 0.935732475
#>  [55] 0.984029125 0.179599950 0.566441921 0.359033167 0.566441921 0.430654994
#>  [61] 0.030376609 0.878185993 0.743462547 0.802479998 0.709030083 0.785529383
#>  [67] 0.743462547 0.471090769 0.878185993 0.500300012 0.081358488 0.081358488
#>  [73] 0.844816585 0.379605131 0.461016218 0.134873542 0.919303798 0.602757938
#>  [79] 0.338626943 0.853283562 0.665228474 0.471090769 0.853283562 0.810966395
#>  [85] 0.220854741 0.638581564 0.894763729 0.420323100 0.810966395 0.836382500
#>  [91] 0.500300012 0.210310806 0.647511249 0.951999054 0.299621973 0.547629360
#>  [97] 0.620763692 0.984029125 0.566441921 0.018602531 0.853283562 0.055667508
#> [103] 0.894763729 0.359033167 0.777036799 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>     5   134    70    40   197   111    76   179   171    68   167   117   190 
#> 16.43 17.81  7.38 18.00 21.60 17.45 19.22 18.63 16.57 20.62 15.55 17.46 20.81 
#>    77   136    52    32   133 136.1    18   150   140    96    69    24 150.1 
#>  7.27 21.83 10.42 20.90 14.65 21.83 15.21 20.33 12.68 14.54 23.23 23.89 20.33 
#>    97   128    79   157  96.1 197.1    15  32.1   110   113   188 157.1   166 
#> 19.14 20.35 16.23 15.10 14.54 21.60 22.68 20.90 17.56 22.86 16.16 15.10 19.98 
#>   175    61   155   168  68.1  68.2    57 113.1 150.2   145    13    45  13.1 
#> 21.91 10.12 13.08 23.72 20.62 20.62 14.46 22.86 20.33 10.07 14.34 17.42 14.34 
#>  70.1 145.1   127 197.2   181   105 181.1    41 168.1   159  13.2   123  96.2 
#>  7.38 10.07  3.53 21.60 16.46 19.75 16.46 18.02 23.72 10.55 14.34 13.00 14.54 
#> 155.1  13.3 110.1 159.1 117.1    92  92.1   177  76.1   184 175.1    93  79.1 
#> 13.08 14.34 17.56 10.55 17.46 22.92 22.92 12.53 19.22 17.77 21.91 10.33 16.23 
#>   158    42  18.1 110.2  42.1    14    90    26  52.1    88  14.1   154 117.2 
#> 20.14 12.43 15.21 17.56 12.43 12.89 20.94 15.77 10.42 18.37 12.89 12.63 17.46 
#>    99    39  70.2 150.3   106 188.1 127.1 181.2    86  42.2   129  52.2 105.1 
#> 21.19 15.59  7.38 20.33 16.67 16.16  3.53 16.46 23.81 12.43 23.41 10.42 19.75 
#>    60    95   173   118   138   196 196.1     2   151   165    35   109    11 
#> 13.15 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120 120.1   2.1   148   163   135    53   143    12    33   132   178    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198   116 178.1   142    22   126     9   119    21    72    44 132.1 196.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131    54    62    64   146   122    94    74    65    20 196.3  65.1  11.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 178.2  33.1 120.2    48   102  21.1   152    46  62.1   156   103    17   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  53.1 165.1   141   147  48.1 120.3 131.1 132.2 198.1  17.1 165.2   185 120.4 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 102.1  46.1    47   174 152.1 156.1 116.1 103.1 131.2  33.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[99]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0002975361              0.9314982360              0.6958925926 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.43552394              0.01184936              0.02002185 
#>   grade_iii, Cure model 
#>              0.35963117 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 110   17.56      1  65        0         1
#> 50    10.02      1  NA        1         0
#> 68    20.62      1  44        0         0
#> 52    10.42      1  52        0         1
#> 130   16.47      1  53        0         1
#> 108   18.29      1  39        0         1
#> 169   22.41      1  46        0         0
#> 108.1 18.29      1  39        0         1
#> 170   19.54      1  43        0         1
#> 58    19.34      1  39        0         0
#> 149    8.37      1  33        1         0
#> 99    21.19      1  38        0         1
#> 180   14.82      1  37        0         0
#> 140   12.68      1  59        1         0
#> 107   11.18      1  54        1         0
#> 175   21.91      1  43        0         0
#> 50.1  10.02      1  NA        1         0
#> 169.1 22.41      1  46        0         0
#> 154   12.63      1  20        1         0
#> 26    15.77      1  49        0         1
#> 113   22.86      1  34        0         0
#> 15    22.68      1  48        0         0
#> 49    12.19      1  48        1         0
#> 57    14.46      1  45        0         1
#> 154.1 12.63      1  20        1         0
#> 30    17.43      1  78        0         0
#> 55    19.34      1  69        0         1
#> 170.1 19.54      1  43        0         1
#> 190   20.81      1  42        1         0
#> 77     7.27      1  67        0         1
#> 58.1  19.34      1  39        0         0
#> 24    23.89      1  38        0         0
#> 30.1  17.43      1  78        0         0
#> 111   17.45      1  47        0         1
#> 149.1  8.37      1  33        1         0
#> 30.2  17.43      1  78        0         0
#> 51    18.23      1  83        0         1
#> 194   22.40      1  38        0         1
#> 97    19.14      1  65        0         1
#> 70     7.38      1  30        1         0
#> 40    18.00      1  28        1         0
#> 61    10.12      1  36        0         1
#> 66    22.13      1  53        0         0
#> 157   15.10      1  47        0         0
#> 167   15.55      1  56        1         0
#> 90    20.94      1  50        0         1
#> 127    3.53      1  62        0         1
#> 66.1  22.13      1  53        0         0
#> 145   10.07      1  65        1         0
#> 57.1  14.46      1  45        0         1
#> 61.1  10.12      1  36        0         1
#> 184   17.77      1  38        0         0
#> 123   13.00      1  44        1         0
#> 129   23.41      1  53        1         0
#> 187    9.92      1  39        1         0
#> 128   20.35      1  35        0         1
#> 10    10.53      1  34        0         0
#> 149.2  8.37      1  33        1         0
#> 195   11.76      1  NA        1         0
#> 10.1  10.53      1  34        0         0
#> 110.1 17.56      1  65        0         1
#> 32    20.90      1  37        1         0
#> 106   16.67      1  49        1         0
#> 136   21.83      1  43        0         1
#> 92    22.92      1  47        0         1
#> 117   17.46      1  26        0         1
#> 78    23.88      1  43        0         0
#> 42    12.43      1  49        0         1
#> 58.2  19.34      1  39        0         0
#> 59    10.16      1  NA        1         0
#> 58.3  19.34      1  39        0         0
#> 100   16.07      1  60        0         0
#> 187.1  9.92      1  39        1         0
#> 139   21.49      1  63        1         0
#> 45    17.42      1  54        0         1
#> 18    15.21      1  49        1         0
#> 140.1 12.68      1  59        1         0
#> 18.1  15.21      1  49        1         0
#> 79    16.23      1  54        1         0
#> 153   21.33      1  55        1         0
#> 128.1 20.35      1  35        0         1
#> 150   20.33      1  48        0         0
#> 57.2  14.46      1  45        0         1
#> 111.1 17.45      1  47        0         1
#> 134   17.81      1  47        1         0
#> 184.1 17.77      1  38        0         0
#> 10.2  10.53      1  34        0         0
#> 61.2  10.12      1  36        0         1
#> 39    15.59      1  37        0         1
#> 187.2  9.92      1  39        1         0
#> 41    18.02      1  40        1         0
#> 175.1 21.91      1  43        0         0
#> 8     18.43      1  32        0         0
#> 180.1 14.82      1  37        0         0
#> 24.1  23.89      1  38        0         0
#> 13    14.34      1  54        0         1
#> 29    15.45      1  68        1         0
#> 61.3  10.12      1  36        0         1
#> 166   19.98      1  48        0         0
#> 117.1 17.46      1  26        0         1
#> 45.1  17.42      1  54        0         1
#> 50.2  10.02      1  NA        1         0
#> 45.2  17.42      1  54        0         1
#> 93    10.33      1  52        0         1
#> 127.1  3.53      1  62        0         1
#> 13.1  14.34      1  54        0         1
#> 157.1 15.10      1  47        0         0
#> 166.1 19.98      1  48        0         0
#> 105   19.75      1  60        0         0
#> 192   16.44      1  31        1         0
#> 14    12.89      1  21        0         0
#> 111.2 17.45      1  47        0         1
#> 126   24.00      0  48        0         0
#> 116   24.00      0  58        0         1
#> 31    24.00      0  36        0         1
#> 72    24.00      0  40        0         1
#> 20    24.00      0  46        1         0
#> 87    24.00      0  27        0         0
#> 200   24.00      0  64        0         0
#> 141   24.00      0  44        1         0
#> 11    24.00      0  42        0         1
#> 174   24.00      0  49        1         0
#> 142   24.00      0  53        0         0
#> 165   24.00      0  47        0         0
#> 151   24.00      0  42        0         0
#> 152   24.00      0  36        0         1
#> 75    24.00      0  21        1         0
#> 73    24.00      0  NA        0         1
#> 21    24.00      0  47        0         0
#> 94    24.00      0  51        0         1
#> 161   24.00      0  45        0         0
#> 115   24.00      0  NA        1         0
#> 148   24.00      0  61        1         0
#> 116.1 24.00      0  58        0         1
#> 71    24.00      0  51        0         0
#> 196   24.00      0  19        0         0
#> 82    24.00      0  34        0         0
#> 82.1  24.00      0  34        0         0
#> 115.1 24.00      0  NA        1         0
#> 71.1  24.00      0  51        0         0
#> 196.1 24.00      0  19        0         0
#> 47    24.00      0  38        0         1
#> 87.1  24.00      0  27        0         0
#> 3     24.00      0  31        1         0
#> 75.1  24.00      0  21        1         0
#> 94.1  24.00      0  51        0         1
#> 198   24.00      0  66        0         1
#> 12    24.00      0  63        0         0
#> 7     24.00      0  37        1         0
#> 11.1  24.00      0  42        0         1
#> 80    24.00      0  41        0         0
#> 72.1  24.00      0  40        0         1
#> 1     24.00      0  23        1         0
#> 84    24.00      0  39        0         1
#> 95    24.00      0  68        0         1
#> 156   24.00      0  50        1         0
#> 160   24.00      0  31        1         0
#> 103   24.00      0  56        1         0
#> 3.1   24.00      0  31        1         0
#> 33    24.00      0  53        0         0
#> 131   24.00      0  66        0         0
#> 34    24.00      0  36        0         0
#> 74    24.00      0  43        0         1
#> 172   24.00      0  41        0         0
#> 172.1 24.00      0  41        0         0
#> 156.1 24.00      0  50        1         0
#> 53    24.00      0  32        0         1
#> 17    24.00      0  38        0         1
#> 22    24.00      0  52        1         0
#> 17.1  24.00      0  38        0         1
#> 138   24.00      0  44        1         0
#> 144   24.00      0  28        0         1
#> 196.2 24.00      0  19        0         0
#> 80.1  24.00      0  41        0         0
#> 98    24.00      0  34        1         0
#> 152.1 24.00      0  36        0         1
#> 178   24.00      0  52        1         0
#> 121   24.00      0  57        1         0
#> 94.2  24.00      0  51        0         1
#> 48    24.00      0  31        1         0
#> 198.1 24.00      0  66        0         1
#> 172.2 24.00      0  41        0         0
#> 2     24.00      0   9        0         0
#> 144.1 24.00      0  28        0         1
#> 71.2  24.00      0  51        0         0
#> 185   24.00      0  44        1         0
#> 104   24.00      0  50        1         0
#> 178.1 24.00      0  52        1         0
#> 122   24.00      0  66        0         0
#> 94.3  24.00      0  51        0         1
#> 200.1 24.00      0  64        0         0
#> 44    24.00      0  56        0         0
#> 121.1 24.00      0  57        1         0
#> 103.1 24.00      0  56        1         0
#> 151.1 24.00      0  42        0         0
#> 38    24.00      0  31        1         0
#> 95.1  24.00      0  68        0         1
#> 152.2 24.00      0  36        0         1
#> 33.1  24.00      0  53        0         0
#> 148.1 24.00      0  61        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.436         NA        NA      NA
#> 2 age, Cure model           0.0118        NA        NA      NA
#> 3 grade_ii, Cure model      0.0200        NA        NA      NA
#> 4 grade_iii, Cure model     0.360         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000298        NA        NA      NA
#> 2 grade_ii, Survival model   0.931           NA        NA      NA
#> 3 grade_iii, Survival model  0.696           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.43552           0.01185           0.02002           0.35963  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    263.6 
#> Residual Deviance: 261 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.43552394       0.01184936       0.02002185       0.35963117 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0002975361     0.9314982360     0.6958925926 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.60063444 0.37174448 0.90769007 0.70846200 0.53043775 0.17191447
#>   [7] 0.53043775 0.44476370 0.46447678 0.96338061 0.32445495 0.79094330
#>  [13] 0.84839018 0.88443183 0.25157545 0.17191447 0.86060949 0.73710564
#>  [19] 0.13730349 0.15459425 0.87853106 0.80407208 0.86060949 0.65590590
#>  [25] 0.46447678 0.44476370 0.36073400 0.98444684 0.46447678 0.02594831
#>  [31] 0.65590590 0.63296577 0.96338061 0.65590590 0.54874036 0.20491509
#>  [37] 0.51132255 0.97919115 0.56668824 0.91926708 0.22082613 0.77781691
#>  [43] 0.75107231 0.33704524 0.98967558 0.22082613 0.94158683 0.80407208
#>  [49] 0.91926708 0.58381580 0.83585612 0.09995977 0.94716736 0.38275923
#>  [55] 0.89027422 0.96338061 0.89027422 0.60063444 0.34919280 0.70109151
#>  [61] 0.28237729 0.12003748 0.61700971 0.07134142 0.87257013 0.46447678
#>  [67] 0.46447678 0.73002426 0.94716736 0.29739722 0.67886454 0.76469360
#>  [73] 0.84839018 0.76469360 0.72294410 0.31136553 0.38275923 0.40332363
#>  [79] 0.80407208 0.63296577 0.57534780 0.58381580 0.89027422 0.91926708
#>  [85] 0.74412120 0.94716736 0.55782316 0.25157545 0.52087931 0.79094330
#>  [91] 0.02594831 0.82322736 0.75792847 0.91926708 0.41374417 0.61700971
#>  [97] 0.67886454 0.67886454 0.91349645 0.98967558 0.82322736 0.77781691
#> [103] 0.41374417 0.43433755 0.71575854 0.84212301 0.63296577 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   110    68    52   130   108   169 108.1   170    58   149    99   180   140 
#> 17.56 20.62 10.42 16.47 18.29 22.41 18.29 19.54 19.34  8.37 21.19 14.82 12.68 
#>   107   175 169.1   154    26   113    15    49    57 154.1    30    55 170.1 
#> 11.18 21.91 22.41 12.63 15.77 22.86 22.68 12.19 14.46 12.63 17.43 19.34 19.54 
#>   190    77  58.1    24  30.1   111 149.1  30.2    51   194    97    70    40 
#> 20.81  7.27 19.34 23.89 17.43 17.45  8.37 17.43 18.23 22.40 19.14  7.38 18.00 
#>    61    66   157   167    90   127  66.1   145  57.1  61.1   184   123   129 
#> 10.12 22.13 15.10 15.55 20.94  3.53 22.13 10.07 14.46 10.12 17.77 13.00 23.41 
#>   187   128    10 149.2  10.1 110.1    32   106   136    92   117    78    42 
#>  9.92 20.35 10.53  8.37 10.53 17.56 20.90 16.67 21.83 22.92 17.46 23.88 12.43 
#>  58.2  58.3   100 187.1   139    45    18 140.1  18.1    79   153 128.1   150 
#> 19.34 19.34 16.07  9.92 21.49 17.42 15.21 12.68 15.21 16.23 21.33 20.35 20.33 
#>  57.2 111.1   134 184.1  10.2  61.2    39 187.2    41 175.1     8 180.1  24.1 
#> 14.46 17.45 17.81 17.77 10.53 10.12 15.59  9.92 18.02 21.91 18.43 14.82 23.89 
#>    13    29  61.3   166 117.1  45.1  45.2    93 127.1  13.1 157.1 166.1   105 
#> 14.34 15.45 10.12 19.98 17.46 17.42 17.42 10.33  3.53 14.34 15.10 19.98 19.75 
#>   192    14 111.2   126   116    31    72    20    87   200   141    11   174 
#> 16.44 12.89 17.45 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142   165   151   152    75    21    94   161   148 116.1    71   196    82 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  82.1  71.1 196.1    47  87.1     3  75.1  94.1   198    12     7  11.1    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.1     1    84    95   156   160   103   3.1    33   131    34    74   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.1 156.1    53    17    22  17.1   138   144 196.2  80.1    98 152.1   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121  94.2    48 198.1 172.2     2 144.1  71.2   185   104 178.1   122  94.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 200.1    44 121.1 103.1 151.1    38  95.1 152.2  33.1 148.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[100]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01100183                0.77271437                0.43380449 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.326919994             0.005647409             0.146440469 
#>   grade_iii, Cure model 
#>             0.550513990 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x560dde43d5a8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 97    19.14      1  65        0         1
#> 128   20.35      1  35        0         1
#> 99    21.19      1  38        0         1
#> 52    10.42      1  52        0         1
#> 8     18.43      1  32        0         0
#> 195   11.76      1  NA        1         0
#> 15    22.68      1  48        0         0
#> 81    14.06      1  34        0         0
#> 43    12.10      1  61        0         1
#> 70     7.38      1  30        1         0
#> 66    22.13      1  53        0         0
#> 26    15.77      1  49        0         1
#> 149    8.37      1  33        1         0
#> 91     5.33      1  61        0         1
#> 164   23.60      1  76        0         1
#> 145   10.07      1  65        1         0
#> 10    10.53      1  34        0         0
#> 96    14.54      1  33        0         1
#> 5     16.43      1  51        0         1
#> 60    13.15      1  38        1         0
#> 199   19.81      1  NA        0         1
#> 60.1  13.15      1  38        1         0
#> 37    12.52      1  57        1         0
#> 101    9.97      1  10        0         1
#> 63    22.77      1  31        1         0
#> 4     17.64      1  NA        0         1
#> 199.1 19.81      1  NA        0         1
#> 187    9.92      1  39        1         0
#> 49    12.19      1  48        1         0
#> 168   23.72      1  70        0         0
#> 78    23.88      1  43        0         0
#> 52.1  10.42      1  52        0         1
#> 37.1  12.52      1  57        1         0
#> 179   18.63      1  42        0         0
#> 32    20.90      1  37        1         0
#> 175   21.91      1  43        0         0
#> 42    12.43      1  49        0         1
#> 168.1 23.72      1  70        0         0
#> 23    16.92      1  61        0         0
#> 97.1  19.14      1  65        0         1
#> 59    10.16      1  NA        1         0
#> 97.2  19.14      1  65        0         1
#> 29    15.45      1  68        1         0
#> 189   10.51      1  NA        1         0
#> 108   18.29      1  39        0         1
#> 78.1  23.88      1  43        0         0
#> 23.1  16.92      1  61        0         0
#> 168.2 23.72      1  70        0         0
#> 29.1  15.45      1  68        1         0
#> 139   21.49      1  63        1         0
#> 187.1  9.92      1  39        1         0
#> 39    15.59      1  37        0         1
#> 68    20.62      1  44        0         0
#> 15.1  22.68      1  48        0         0
#> 90    20.94      1  50        0         1
#> 41    18.02      1  40        1         0
#> 86    23.81      1  58        0         1
#> 100   16.07      1  60        0         0
#> 23.2  16.92      1  61        0         0
#> 29.2  15.45      1  68        1         0
#> 4.1   17.64      1  NA        0         1
#> 32.1  20.90      1  37        1         0
#> 114   13.68      1  NA        0         0
#> 181   16.46      1  45        0         1
#> 125   15.65      1  67        1         0
#> 133   14.65      1  57        0         0
#> 192   16.44      1  31        1         0
#> 18    15.21      1  49        1         0
#> 81.1  14.06      1  34        0         0
#> 18.1  15.21      1  49        1         0
#> 111   17.45      1  47        0         1
#> 49.1  12.19      1  48        1         0
#> 41.1  18.02      1  40        1         0
#> 49.2  12.19      1  48        1         0
#> 169   22.41      1  46        0         0
#> 4.2   17.64      1  NA        0         1
#> 155   13.08      1  26        0         0
#> 140   12.68      1  59        1         0
#> 108.1 18.29      1  39        0         1
#> 133.1 14.65      1  57        0         0
#> 155.1 13.08      1  26        0         0
#> 43.1  12.10      1  61        0         1
#> 96.1  14.54      1  33        0         1
#> 58    19.34      1  39        0         0
#> 10.1  10.53      1  34        0         0
#> 180   14.82      1  37        0         0
#> 40    18.00      1  28        1         0
#> 89    11.44      1  NA        0         0
#> 140.1 12.68      1  59        1         0
#> 139.1 21.49      1  63        1         0
#> 79    16.23      1  54        1         0
#> 89.1  11.44      1  NA        0         0
#> 99.1  21.19      1  38        0         1
#> 106   16.67      1  49        1         0
#> 56    12.21      1  60        0         0
#> 111.1 17.45      1  47        0         1
#> 6     15.64      1  39        0         0
#> 68.1  20.62      1  44        0         0
#> 133.2 14.65      1  57        0         0
#> 179.1 18.63      1  42        0         0
#> 134   17.81      1  47        1         0
#> 29.3  15.45      1  68        1         0
#> 110   17.56      1  65        0         1
#> 124    9.73      1  NA        1         0
#> 39.1  15.59      1  37        0         1
#> 76    19.22      1  54        0         1
#> 45    17.42      1  54        0         1
#> 68.2  20.62      1  44        0         0
#> 133.3 14.65      1  57        0         0
#> 15.2  22.68      1  48        0         0
#> 194   22.40      1  38        0         1
#> 153   21.33      1  55        1         0
#> 147   24.00      0  76        1         0
#> 137   24.00      0  45        1         0
#> 33    24.00      0  53        0         0
#> 33.1  24.00      0  53        0         0
#> 163   24.00      0  66        0         0
#> 75    24.00      0  21        1         0
#> 19    24.00      0  57        0         1
#> 65    24.00      0  57        1         0
#> 119   24.00      0  17        0         0
#> 48    24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 2     24.00      0   9        0         0
#> 121   24.00      0  57        1         0
#> 33.2  24.00      0  53        0         0
#> 172   24.00      0  41        0         0
#> 12    24.00      0  63        0         0
#> 143   24.00      0  51        0         0
#> 135   24.00      0  58        1         0
#> 178   24.00      0  52        1         0
#> 163.1 24.00      0  66        0         0
#> 135.1 24.00      0  58        1         0
#> 176   24.00      0  43        0         1
#> 172.1 24.00      0  41        0         0
#> 17    24.00      0  38        0         1
#> 119.1 24.00      0  17        0         0
#> 147.1 24.00      0  76        1         0
#> 102   24.00      0  49        0         0
#> 112   24.00      0  61        0         0
#> 54    24.00      0  53        1         0
#> 84    24.00      0  39        0         1
#> 83    24.00      0   6        0         0
#> 173   24.00      0  19        0         1
#> 95    24.00      0  68        0         1
#> 152   24.00      0  36        0         1
#> 172.2 24.00      0  41        0         0
#> 20    24.00      0  46        1         0
#> 141   24.00      0  44        1         0
#> 141.1 24.00      0  44        1         0
#> 112.1 24.00      0  61        0         0
#> 82    24.00      0  34        0         0
#> 31    24.00      0  36        0         1
#> 46    24.00      0  71        0         0
#> 71    24.00      0  51        0         0
#> 31.1  24.00      0  36        0         1
#> 22    24.00      0  52        1         0
#> 84.1  24.00      0  39        0         1
#> 20.1  24.00      0  46        1         0
#> 98    24.00      0  34        1         0
#> 126   24.00      0  48        0         0
#> 182   24.00      0  35        0         0
#> 193   24.00      0  45        0         1
#> 116   24.00      0  58        0         1
#> 28    24.00      0  67        1         0
#> 156   24.00      0  50        1         0
#> 22.1  24.00      0  52        1         0
#> 115   24.00      0  NA        1         0
#> 148   24.00      0  61        1         0
#> 193.1 24.00      0  45        0         1
#> 120   24.00      0  68        0         1
#> 33.3  24.00      0  53        0         0
#> 44    24.00      0  56        0         0
#> 33.4  24.00      0  53        0         0
#> 165   24.00      0  47        0         0
#> 182.1 24.00      0  35        0         0
#> 112.2 24.00      0  61        0         0
#> 161   24.00      0  45        0         0
#> 47    24.00      0  38        0         1
#> 151   24.00      0  42        0         0
#> 200   24.00      0  64        0         0
#> 75.1  24.00      0  21        1         0
#> 9     24.00      0  31        1         0
#> 200.1 24.00      0  64        0         0
#> 160   24.00      0  31        1         0
#> 65.1  24.00      0  57        1         0
#> 122   24.00      0  66        0         0
#> 132   24.00      0  55        0         0
#> 38    24.00      0  31        1         0
#> 98.1  24.00      0  34        1         0
#> 120.1 24.00      0  68        0         1
#> 200.2 24.00      0  64        0         0
#> 1     24.00      0  23        1         0
#> 71.1  24.00      0  51        0         0
#> 65.2  24.00      0  57        1         0
#> 146   24.00      0  63        1         0
#> 141.2 24.00      0  44        1         0
#> 173.1 24.00      0  19        0         1
#> 193.2 24.00      0  45        0         1
#> 35    24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.327          NA        NA      NA
#> 2 age, Cure model          0.00565        NA        NA      NA
#> 3 grade_ii, Cure model     0.146          NA        NA      NA
#> 4 grade_iii, Cure model    0.551          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0110        NA        NA      NA
#> 2 grade_ii, Survival model    0.773         NA        NA      NA
#> 3 grade_iii, Survival model   0.434         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.326920          0.005647          0.146440          0.550514  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258.3 
#> Residual Deviance: 255.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.326919994      0.005647409      0.146440469      0.550513990 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01100183       0.77271437       0.43380449 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.245484869 0.215442627 0.139691423 0.902359618 0.296383003 0.047635807
#>   [7] 0.696381768 0.858901406 0.978539765 0.090244204 0.505501417 0.967756174
#>  [13] 0.989257589 0.031314814 0.924240735 0.880546838 0.674697770 0.473755752
#>  [19] 0.718278577 0.718278577 0.783362732 0.935239061 0.039919659 0.946188159
#>  [25] 0.826808482 0.013125885 0.001623438 0.902359618 0.783362732 0.275451438
#>  [31] 0.168711400 0.100146405 0.804962139 0.013125885 0.410447159 0.245484869
#>  [37] 0.245484869 0.558771278 0.307155378 0.001623438 0.410447159 0.013125885
#>  [43] 0.558771278 0.110432493 0.946188159 0.537548029 0.187051424 0.047635807
#>  [49] 0.158789027 0.328315987 0.008080663 0.494861575 0.410447159 0.558771278
#>  [55] 0.168711400 0.452530033 0.516163694 0.631927680 0.463208511 0.600336035
#>  [61] 0.696381768 0.600336035 0.379729693 0.826808482 0.328315987 0.826808482
#>  [67] 0.071340350 0.739894949 0.761669615 0.307155378 0.631927680 0.739894949
#>  [73] 0.858901406 0.674697770 0.225332826 0.880546838 0.621296863 0.348952323
#>  [79] 0.761669615 0.110432493 0.484331141 0.139691423 0.441866523 0.815849977
#>  [85] 0.379729693 0.526818004 0.187051424 0.631927680 0.275451438 0.359245006
#>  [91] 0.558771278 0.369452529 0.537548029 0.235376878 0.400093000 0.187051424
#>  [97] 0.631927680 0.047635807 0.080800401 0.129771762 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>    97   128    99    52     8    15    81    43    70    66    26   149    91 
#> 19.14 20.35 21.19 10.42 18.43 22.68 14.06 12.10  7.38 22.13 15.77  8.37  5.33 
#>   164   145    10    96     5    60  60.1    37   101    63   187    49   168 
#> 23.60 10.07 10.53 14.54 16.43 13.15 13.15 12.52  9.97 22.77  9.92 12.19 23.72 
#>    78  52.1  37.1   179    32   175    42 168.1    23  97.1  97.2    29   108 
#> 23.88 10.42 12.52 18.63 20.90 21.91 12.43 23.72 16.92 19.14 19.14 15.45 18.29 
#>  78.1  23.1 168.2  29.1   139 187.1    39    68  15.1    90    41    86   100 
#> 23.88 16.92 23.72 15.45 21.49  9.92 15.59 20.62 22.68 20.94 18.02 23.81 16.07 
#>  23.2  29.2  32.1   181   125   133   192    18  81.1  18.1   111  49.1  41.1 
#> 16.92 15.45 20.90 16.46 15.65 14.65 16.44 15.21 14.06 15.21 17.45 12.19 18.02 
#>  49.2   169   155   140 108.1 133.1 155.1  43.1  96.1    58  10.1   180    40 
#> 12.19 22.41 13.08 12.68 18.29 14.65 13.08 12.10 14.54 19.34 10.53 14.82 18.00 
#> 140.1 139.1    79  99.1   106    56 111.1     6  68.1 133.2 179.1   134  29.3 
#> 12.68 21.49 16.23 21.19 16.67 12.21 17.45 15.64 20.62 14.65 18.63 17.81 15.45 
#>   110  39.1    76    45  68.2 133.3  15.2   194   153   147   137    33  33.1 
#> 17.56 15.59 19.22 17.42 20.62 14.65 22.68 22.40 21.33 24.00 24.00 24.00 24.00 
#>   163    75    19    65   119    48   191     2   121  33.2   172    12   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135   178 163.1 135.1   176 172.1    17 119.1 147.1   102   112    54    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83   173    95   152 172.2    20   141 141.1 112.1    82    31    46    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  31.1    22  84.1  20.1    98   126   182   193   116    28   156  22.1   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 193.1   120  33.3    44  33.4   165 182.1 112.2   161    47   151   200  75.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9 200.1   160  65.1   122   132    38  98.1 120.1 200.2     1  71.1  65.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146 141.2 173.1 193.2    35 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> Formula blueprint: 
#>  
#> # Predictors: 2 
#>   # Outcomes: 2 
#>    Intercept: TRUE 
#> Novel Levels: FALSE 
#>  Composition: tibble 
#>   Indicators: traditional 
#> 
#> $cure_blueprint
#> Formula blueprint: 
#>  
#> # Predictors: 2 
#>   # Outcomes: 0 
#>    Intercept: TRUE 
#> Novel Levels: FALSE 
#>  Composition: tibble 
#>   Indicators: traditional 
#>